Logo

Medical Intelligence Society Summit 2021 - Shared screen with speaker view
Panida Piboolnurak
45:59
Good morning.
Junaid Kalia
46:15
Good Morning from Dallas TX
John Lee
46:45
We will be muting everyone but if you are not muted, please do so if you are not speaking.
Tim McLerran
47:33
Good morning from San Diego! Good to see you all again!
Howard Lei
47:44
Good morning everyone!
Debra Beauregard
47:51
Welcome! Please mute your mic if you are not presenting.
Paul Marrow
48:43
Good afternoon from Northwest England. Thank you for all you massive contribution in recent times.
Arlen Meyers
49:07
Good morning
kevin obuya
49:43
Good afternoon from Nairobi. Great to be here
Arlen Meyers
51:12
https://hbr.org/2021/07/ai-doesnt-have-to-be-too-complicated-or-expensive-for-your-business?utm_medium=email&utm_source=newsletter_daily&utm_campaign=dailyalert_actsubs&utm_content=signinnudge&deliveryName=DM143580
Junaid Kalia
52:11
> “All of AI, not just healthcare, has a proof-of-concept-to-production gap,” - Andrew Ng> "There are challenges in making a research paper into something useful in a clinical setting" - Andrew Ng
Eric Eskioglu
52:45
Thanks Arlen! Good morning everyone from Charlotte, NC!
Tim McLerran
54:48
Intelligence-Based Medicine is an excellent read. Well worth the time.
Arlen Meyers
55:25
And, how do we regulate AI? https://flipboard.com/topic/opinion/what-the-u-s-can-learn-from-europe-s-approach-to-artificial-intelligence/a-XGPLonWbQxiAuK8ec1MJ4Q%3Aa%3A3195393-9bae2ea0ef%2Fnytimes.com
Junaid Kalia
57:33
ABAIM Course Review & Testimonial - https://youtu.be/ho29j_3_2nE - Must attend
John Lee
57:53
If there are any questions, please post to the chat. At the end, we will also have an opportunity to ask questions live.
Anthony Chang
58:21
A very warm welcome to everyone from Southern California! Hoping to see you in person next summer!
Anthony Chang
01:00:33
MIS50 is the special 50% discount for our summer summit until next Friday, August 6th.
Anthony Chang
01:00:51
AI-MED.io
Arlen Meyers
01:01:59
See you next Friday at ABAIM/SOPE office hours at www.abaim.org, 8am MT. Subject: AI and cybersecurity
Broderick Crawford
01:03:07
Good morning (Laguna Beach, CA)
Robert Hoyt
01:07:25
GPT 3 is by OpenAI
Arlen Meyers
01:10:04
Another advance: Healthcare AIntrepreneurship
John Lee
01:10:44
Please post any questions for Dr. Nguyen
Arlen Meyers
01:11:26
How should AI be regulated?
Paul Marrow
01:12:03
Dr Nguyen re: your slide on federated learning surely there are a lot of other institutions as well as hospitals accumulating and using data?
Arlen Meyers
01:12:50
What is the future of blockchain and AI?
John Lee
01:13:40
Can we leverage this swarm AI with disparate levels of data quality and non-normalized data?
Panida Piboolnurak
01:15:05
Each medical society in all medical fields and subspecialties can have a task force to collect data in their fields and come up with a guideline platform to be used by other doctors, particularly in rural area where there are limited resources.
Anthony Chang
01:15:26
Totally agree with Panida!
Anthony Chang
01:16:18
I will let you know as I will be working on this. There will need to be some data quality surveillance.
Panida Piboolnurak
01:18:45
We all should spread the words to all medical societies we belong to.
Junaid Kalia
01:18:50
Can we get a copy of the Slide or a PDF of Bibliography? Thanks! This is great thanks @Nguyen
Panida Piboolnurak
01:23:57
We need a better design of VR/AR headset to reduce motion sickness when using it.
Paul Marrow
01:24:40
@Panida yes
Anthony Chang
01:25:56
AI and blockchain will be essential parts of swarm learning
Anthony Chang
01:29:39
XR + AI = Intelligent reality so clinicians can train without a full team or a mentor especially for resuscitation training
Eric Eskioglu
01:30:21
XR, AR, VR will be very helpful in treating Psych patients. They need multiple touch points besides seeing the clinician once or twice a month! EE
Tim McLerran
01:30:23
Do you see eye tracking built in to XR devices, and are we using the data generated from eye tracking to understand how people direct their attention?
Junaid Kalia
01:30:54
First Application of XR would be education and wellness training. Ambient intelligence with virtual assistant does not really need XR/VAR
Anthony Chang
01:31:01
Eric’s comment on using XR for mental health is spot on. Mental health issues loom large now with the pandemic.
Hoang Nguyen
01:32:18
Eye movement as a mode for communication as well
Panida Piboolnurak
01:32:43
Yes, mental health is very important. Psychotherapy via XR would be nice.
Ajay Perumbeti
01:33:09
it would be nice to be able to assess healthcare team dynamics, such as an expert observer to help train people to work better together
Junaid Kalia
01:33:44
Yes
Panida Piboolnurak
01:34:02
How about virtual meeting via XR??
Anthony Chang
01:35:12
A friendly note to speakers in 15 minute sessions: Please try to complete your talk in 7-8 minutes as to leave at least 5-8 minutes for questions. Thank you.
Anthony Chang
01:36:13
Thank you Joe for enlightening everyone on how AI can be combined with XR to take the latter into a new dimension!
Anthony Chang
01:36:56
Congrats to Fatme for using AI as a valuable resource in challenging milieu.
Joe Morgan
01:39:05
Eric - completely agree re: psych treatment and XR. Things like avatar therapists, CBT, education, and delivering insights can be combined with environments focused on things like relaxation, mild exposures, and the like to bring clinical impact.
Anthony Chang
01:39:16
A special welcome to our international attendees from all continents!
Eric Eskioglu
01:40:09
@joemorgan, thanks for an excellent presentation on XR and the future possibilities. EE
Robert Hoyt
01:40:53
Congratulations to Fatme for bringing an international perspective to Lebanon to include AI
John Lee
01:42:03
Fatme, how can we facilitate curation of your clinical expertise into future ECG knowledgebase?
Eric Eskioglu
01:42:25
@FatmeCharafeddine, I applaud you for continuing the science under such dire conditions in Lebanon for your patients! You are an inspiration to all of us. Praying for quick recovery and healing of all the Lebanese people! EE
Pele Yu
01:42:41
Very inspirational!! Congrats!
Junaid Kalia
01:42:48
@Fatme really inspiring!
John Michael FINLEY
01:43:18
Well done @Fatme ….. incredible.
Anthony Chang
01:43:25
Fatme is a super spreader of AI !
George Mathew
01:43:40
@Fatme thank you for doing this - you are an example to us globally as well as representing your country admirably!
Zaidon Al-Falahi
01:43:57
Well done Fatme. I've been looking into this issue for a long time now, I think a proper implementation of AI is the only way forward to democratize access to expertise
Alan Young
01:44:15
Thank you Fatme for a wonderful example of perseverance and dedication to helping others
kevin obuya
01:44:52
Thanks Fatme, that was inspirational
Anthony Chang
01:45:12
I am working with Timothy Chou on a swarm learning concept for images but also data in general for children called AI4Kids.
Tim McLerran
01:45:15
Fantastic talk Fatme! How far away are we from moving beyond 12-lead EKG to EKG vests with many more leads, interpreted by AI? Would it even be helpful to use many more leads?
Ernesto Rivera
01:45:28
Inspirational and aspirational. Great work.
Ben Babu
01:46:24
excellent talk !
Anthony Chang
02:00:43
Digital twin talk is by Dr. Hamilton Baker at MUSC
John Lee
02:04:09
Eric, do you think the failure averse culture of healthcare is an impediment to these efforts?
Anthony Chang
02:08:08
Eric and his triple perspective is extremely valuable for all of us to appreciate.
John Lee
02:09:14
The order for telemetry is most often a reflexive decision
Panida Piboolnurak
02:09:23
Most of hospitals and healthcare systems require a learning requirement in various topics every year, we should add AI in healthcare in this learning requirement to give all the staffs to know about AI.
Anthony Chang
02:09:34
The MIS50 50% discount code for AIMed Global Summit 2022 in January is now up so please let me know if you are having any issues signing up. This discount will expire by next Friday. Ai-med.io
John Lee
02:13:55
This variation stems from human biases and data sparse heuristics...mainstays of 20th century mediciine
Anthony Chang
02:15:13
We have a two day review course under the ABAIM (ABAIM.org) that is very comprehensive and live. Next dates are August 13/14 and there are still a few slots available.
Robert Hoyt
02:16:21
Please put your questions into chat for EE
Anthony Chang
02:17:47
Great lessons learned from Eric. Thank you for sharing!
Ajay Perumbeti
02:17:56
If the AI determines outliers and its tied to co-variation incentives. Does it work well? Would you worry, it also encourage group behavior that may not be the best.
Alan Young
02:18:31
Question for Eric, can you elaborate how Amazon is a competitor and where are you seeing their early success in healthcare?
Donna Armaignac
02:19:15
describe tech and digital security re cyber threats contrasting to holistic view across sites?
George Mathew
02:19:51
The fail fast mentality in healthcare seems inappropriate - but with little or no liability or responsibility, it seems like it will continue. The latest issue with EPIC sepsis algo seem to highlight this - liability seems to be outsourced to the practitioners, not the AI provider - and the gag clauses prevent any open discussion to fix things
Ajay Perumbeti
02:19:54
Would you have a methodology for evaluating vendors for AI solutions. Is there a curated list?
Panida Piboolnurak
02:23:17
What is your view on keeping patients at home while monitoring them from the hospital? Basically, virtual hospital. This can help reducing a risk of confusion and deconditioning in geriatric patients. So, patients who can be treated at home, they can choose this option.
George Mathew
02:23:52
It sounds like Amazon is taking an omnichannel multi pronged approach to data capture and normalization into AWS
John Lee
02:24:47
@George Mathew, I think the Epic sepsis issue is really complicated. I agree that the liability is outsourced but I think the main issue is what was touched upon earlier. Epic created the model to be easily shoehorned into all their client sites. I know of some orgs that have been successful with the tool but many that have not. My opinion is that to a large extent the issue is the underlying data, not necessarily the model.
Donna Armaignac
02:25:28
how to handle bias and SDOH?
Steven Freeman-Muhammad
02:26:11
Great presentation Eric! Thank you for sharing!
George Mathew
02:27:15
@JohnLee I don't disagree - but EPIC is beta testing while its learning this - I don't think the risk is being adequately communicated to patients or to practitioners - agree that the underlying data is not perfect - but there's a lack of intellectual dishonesty in not revealing that imperfection and the downstream implications to all parties - its not perfect, and people need to made aware of all of the risk, not being sold on something that will "work" - even with multiple iterations
George Mathew
02:28:06
sorry meant lack of honesty - apologies for the rant
Pele Yu
02:28:13
Can you comment on Amazon's HealthLake - they claim to have ML resources and tools for healthcare data. Have you looked into this? Institutions with limited computing infrastructures may find this useful.
Donna Armaignac
02:28:42
and bias of hospital level characteristics
Farrel Buchinsky
02:29:55
easy to create league tables of surgeons or hospitals but what safeguards that it's not all spurious variation. are funnel plots being applied?
Anthony Chang
02:31:21
Jeanne symbolizes how clinicians can work synergistically with data scientists at a high level. Thank you for your contribution Jeanne!
John Lee
02:31:38
@George Mathew I think we actually need to be ok with "beta testing" along the lines with Eric's fail fast mentality. In my exposure with many Epic orgs, they use the Epic predictive models using a fire & forget strategy. They don't fail fast...they just fail and forget.
John Lee
02:32:23
Actually the fail and forget mentality is rampant in all healthcare orgs, not just Epic orgs
Panida Piboolnurak
02:32:53
It would be great that pathology result will be available while the patient is still in the OR so that the surgeon can plan for the next step right then and right there.
Anthony Chang
02:33:11
We need incentives to align for model and data longevity in practice. Again, clinical impact and not just a model rolling out with little accountability for longer term success. Same with institutions publishing and forgetting to deploy widely (“publish and forget”).
John Lee
02:33:55
@AChang definitely agree
Anthony Chang
02:34:15
What Panida has suggested is being done at a few centers already: a CNN model in the OR for surgeons.
Panida Piboolnurak
02:37:10
Thank you, Dr. Chang, Which centers, and can we adopt the model? Or, it is just at a research level?
Robert Hoyt
02:38:22
Please submit your questions to Dr. Shen
John Lee
02:38:33
@Jeanne Shen, beyond the image processing, do you see opportunity in separating the wheat from the chaff in the readings? What are the truly important nuggets in different clinical situations and consumers of the reading?
Eric Eskioglu
02:40:55
@Jeanneshen do you see the merger of pathology and radiology fields in the future with AI being the conduit? Maybe Radiopathologist? Thx EE
Panida Piboolnurak
02:41:28
There are so many models and platforms already developed and successfully adopted. But, there is no single place to list all of these models and platforms. Do you think MIS can be the place for all these to be listed? It will make it easier for all of us to look for ideas, without having to search Google, or starting from scratch.
Anthony Chang
02:42:08
Great talk Jeanne and congrats on pathology really embracing AI now. Perhaps slipstreaming behind radiology but very impressive nevertheless.
Zaidon Al-Falahi
02:44:04
@Eric, I think that is a future for cardiology, specifically Electrophysiology and Imaging, my particular interest! Check this article, they improved accessory pathway detection by incorporating a CXR into ECGs https://www.nature.com/articles/s41598-021-87631-y
Zaidon Al-Falahi
02:45:00
I think there is a great future for fusion AI modalities
Fatme Charafeddine
02:45:51
@Zaidon, thank you for sharing this multimodal AI algorithms. So exciting!
Anthony Chang
02:47:38
Multimodal AI is a big part of future of AI in subspecialties.
Anthony Chang
02:48:23
Great perspective from Matt about AI in a big medical center with so many stakeholders. Big fan of AIMI and what they have done.
Eric Eskioglu
02:48:28
Thanks @zaidon. Really good article. EE
Anthony Chang
02:51:24
Matt will be part of our ABAIM review course guest faculty in August. Thanks Matt!
Robert Hoyt
02:52:34
Please submit your questions for Matt’s session
Ajay Perumbeti
02:54:58
what is your/stanford's take on federated learning
Donna Armaignac
02:56:59
please share more on the race/ethnicity when applying predictions? scores and SDOH for example in a 75% Hispanic population.
Tim McLerran
03:01:33
Special request for all attendees from the Society’s first working group! Please help focus the working group’s efforts on the most clinically important areas by voting on use cases and submitting your own use cases at: https://www.reddit.com/r/GrApHAIUseCaseQueue/ I’ll explain further in my talk, but if you can go there during the breaks, we would very much appreciate it!
Matthew Lungren
03:02:18
stay tuned to our website/social media for new results re: race recognition on medical imaging by AI systems
Flora Wan
03:02:26
Really insightful and fascinating talks today! Thank you to all the speakers for preparing the presentations and inspiring all of us to continuing moving AI forward in medicine
Eric Eskioglu
03:20:17
Please put your questions to chat! Thx EE
Arlen Meyers
03:21:03
What is the next step for med students when it comes to commercial R/D and launch?
Panida Piboolnurak
03:21:18
Can we use this cap for a long-term monitoring? This can predict clinical seizure and give a warning to the patient real-time.
Robert Hoyt
03:22:38
What else might be diagnosed or monitored using this cap, besides a seizure disorder?
Panida Piboolnurak
03:22:46
The problem with psychogenic seizure is that EEG electrode cannot detect signal from medial temporal lobe, or orbitofrontal lobe.
Paul Lin
03:23:17
What's it like working with dry leads - ?artefact acceptable, ?are they cheap and accessible or proprietary technology?
Arlen Meyers
03:24:18
When medical students invent things, who owns the IP?
Paul Marrow
03:24:18
An admirable project and I wish you well in producing a marketable product. What about non-baseball caps for other countries without baseball?
Ernesto Rivera
03:29:05
I like the collaboration between medicine and engineering. We do have a lot of challenges with workflows and I think this form of collaboration will result in some solutions.
Animesh Tandon, M.D., M.S.
03:32:25
How can we encourage more that medicine isn't a single person seeing a single patient anymore? Collaborations with data scientists, engineers, etc. is necessary for any of us to keep up with what's the latest in any medical field
Arlen Meyers
03:32:44
There are approximately 200 US allopathic and osteopathic medical schools. A recent non-scientific search indicates that very few schools offer mandatory data science/data literacy education and training to med students or residents.
Arlen Meyers
03:33:15
The same holds true for biomedical innovation and entrepreneurship/business of medicine.
Michael Aref
03:35:27
Question for the panel: Medicine continues to make technological leaps and bounds without necessarily improving care in terms of communicating with patients and establishing goals of care. How can the integration of AI improve this deficit?
Arlen Meyers
03:36:54
Educating doctors and patients is but the first step. The holy grain is changing behavior, which is much harder. Education alone does not change behavior
DOREEN ROSENSTRAUCH
03:38:13
Speak their language (financial literacy) and show administrators the ROI.
Panida Piboolnurak
03:39:55
will the new medical school model will be longer than typical class?
Tim McLerran
03:41:57
How much are online learning tools like OnlineMedEd, Coursera, Khan Academy, etc. disrupting the traditional lecture model of didactics in your school?
Anthony Chang
03:43:27
The new curriculum will be within the same timeframe but different approach and allocation of time.
Zaidon Al-Falahi
03:43:38
By democratizing access to expertise. One big issue with medical systems is variability and access. Practitioners in remote areas and developing countries are underpowered and unsupported.
Panida Piboolnurak
03:44:58
Can we have our own digital twin? Our AI twin will do a non-human part of work and let us free to do the human thing.
Zaidon Al-Falahi
03:45:07
And by underpowered I mean access to sophisticated diagnostic systems. If you can diagnose heart failure from an ECG, and we can, how much help would that be to practitioners in underserved communities?
Fatme Charafeddine
03:45:56
That’s why we need to work all together Zaidon to lead the way in underserved areas, and initiate this revolutionary paradigm shift in culture among the healthcare practitioners and medical students.
Ajay Perumbeti
03:46:25
Will young trainees lose intuition in human biology and ability to correct machine error, as we introduce more tools for clinical decision support.
Zaidon Al-Falahi
03:47:03
Anthony, I needed to hear that! I'm in awe of that perspective, even if I agree with the diagnostic power of a mobile US!
Avneesh Khare
03:47:44
Even stethoscope can incorporate AI
Alfred Ma
03:47:57
There will be time that you need the old tech.
JAWAHAR JAGARAPU
03:48:26
Humanizing the medicine is very much needed … The stethoscope might not give the diagnostic ability as an ECHO but gives the human touch element and satisfaction to the patient …. !!
Zaidon Al-Falahi
03:49:00
As a practicing cardiologist, the stethoscope adds very little information to my clinical routine, and I do round with a portable echo that I take every opportunity to use. But I still use the stethoscope every time because of the human touch, and patients seem to like it
Arlen Meyers
03:49:14
What are the biggest barriers to medical school reform? How to overcome?
Avneesh Khare
03:49:45
Biggest barrier is behaviour and inability to bring about behavioural changes
Avneesh Khare
03:50:04
Nudges maybe
Anthony Chang
03:50:25
Slow gradual pressure with empathy and patience.
Avneesh Khare
03:50:39
True Dr Chang:)
Arlen Meyers
03:51:51
I would argue that nursing informatics programs are more advanced than medical school informatics
jonathan lukoff
03:52:50
My understanding is that nursing programs in Southern California are fully enrolled with student-wait lists.
Panida Piboolnurak
03:54:36
Ambient Health by Nuance can be very helpful for documentation while being with the patients.
Arlen Meyers
03:56:17
should medical schools offer alternative pathways for those who are more interested in non-clinical careers?
Tim McLerran
03:56:45
What have you cut out of traditional medical curricula to make time for engineering and entrepreneurship training?
John Michael Finley
03:57:42
Accreditation and licensure are challenges to overcome and ultimately adjust to allow the type of education for the healthcare team (physicians, nurses) to evolve (modernize?) and result in the delivery of care that we are discussing.
Alfred Ma
03:57:42
Tech is wonderful. However, it also dehumanize medical practice as modernizing medicine disassociate the communication of care.
Arlen Meyers
03:58:49
Medical schools will eventually be one of many steps in career development, starting these day in P-undergrad and continuing in residency. consequently, you don't need to teach it all in 4years.
Zaidon Al-Falahi
03:59:15
Let's not forget, as physicians it is our responsibility to "extract" relevant actionable information that lead to a diagnosis and a treatment. That information may lie in the history, in the stethoscope finding, or in their "data".
Joe Morgan
03:59:22
Great panel
Dalton Grady
03:59:34
Wonderful panel, thank you!
Anthony Chang
04:00:03
Great comments from our attendees!
KEVIN KOSHY JACOB
04:00:08
Excellent discussion,Thank you all
Hamilton Baker
04:00:09
Eric, great job moderating!
Panida Piboolnurak
04:00:10
The education should start at the primary school level.
Kenny Leung
04:03:35
We all use online videos to supplement our learning on in-class. A number of medical school academic affairs administrators at different schools I spoke to understand that online videos may even be the primary tools we use to learn the information. Thus, it is important that any in-class sessions be a more interactive approach that helps build or reinforce knowledge. Our school stresses problem based learning, in which small groups get together to focus on the diagnosing process, which is something that is more difficult to learn from just watching videos.
Eric Eskioglu
04:04:05
Thanks for a great panel discussion! EE
Tim McLerran
04:09:03
I agree, EE! Great session. Another plug from the working group - if you have a few minutes during the break, please go to https://www.reddit.com/r/GrApHAIUseCaseQueue/top/?t=all and vote on use cases or add your own.
Zaidon Al-Falahi
04:21:34
BTW, this is an anecdote from last year, forgot to mention it earlier, some may find it interesting regarding pitfalls!Intensivist: Can you please do an urgent echo on this ventilated trauma patient? I hear a murmurEcho fellow: Done. Nothing out of the ordinary.Intensivist: But I hear a murmur, are you sure? Did you listen to the chest?Echo fellow: Why would I listen to the chest when I just did an echo? I don't even carry my stethoscope anymore.Intensivist: Here, take my stethoscope and listen.Echo Fellow: Takes stehoscope from intensivist and listens. There is a continuous murmur, becomes red faced. Repeats the echo with one window that she missed earlier and discovers a PDA (patent ductus arteriosus), a rare congenital abnormaility that can only be uncovered by a certain maneouver (that is part of the routine workflow but ignored by many in the course of POCUS/acute echoes!)
Panida Piboolnurak
04:26:33
Very good example. We cannot rely on just technologies.
Anthony Chang
04:27:39
Good story. We should take advantage of both to maximize dividend. Most cardiologists would agree with not having a stethoscope as it does pick up sounds that even good ultrasound can miss, especially screening ones.
kevin obuya
04:39:29
interesting playlist
Anthony Chang
04:43:25
Good story. We should take advantage of both to maximize dividend. Most cardiologists would NOT agree with not having a stethoscope as it does pick up sounds that even good ultrasound can miss, especially screening ones. Trouble with relying solely on one technology is that you are limited with the performance of that technology. Why not use BOTH the stethoscope and ultrasound? BTW, stethoscope is more intimate with patients as you can look at the patients whereas ultrasound distracts you as you will be looking at the images.
Robert Hoyt
04:58:28
My mantra in medicine has always been to adopt the best of the old and the best of the new so I still plan to carry a stethoscope
Alan Young
04:58:54
Welcome back everyone!! We will get started shortly
Anthony Chang
05:01:45
We are so proud of you Alan and your AI journey and what you do for all of us!
Alan Young
05:02:33
Thanks Anthony and team for your trailblazing leadership and innovation!
Anthony Chang
05:02:40
Thanks Ji Lin for this amazing work from MIT!
Alan Young
05:02:44
Please feel free to drop questions for Ji Lin in this chat, thanks!
Ajay Perumbeti
05:21:00
With the microcontroller, does the machine learning algo need to be hard coded?
Piyush Mathur
05:21:21
Very impressive and would help democratize AI
Alan Young
05:22:21
We will have Q&A in 1 minute, please feel free to unmute and ask questions or drop in the chat
Avneesh Khare
05:23:42
awedsome
Avneesh Khare
05:23:46
Awesome!
Avneesh Khare
05:24:12
Tiny but huge
Ben Babu
05:24:27
excellent presentation
W. Saasouh / DMC NSA Research
05:24:41
Can you please share the website here again?
Piyush Mathur
05:25:18
Where do you see the biggest impact of this technology in healthcare?Hospital or outside hospital?
Piyush Mathur
05:27:54
Thank you.Amazing work again! We do see great value in the BP applications
Dony Ang
05:28:57
impressive project..
Alan Young
05:30:04
Get ready for the next session starting in 1 minute!
Anthony Chang
05:30:27
Thank you Ji Lin for this monumental work that will have really big application potential.
Animesh Tandon, M.D., M.S.
05:32:51
That pyramid is WIKID!
Anthony Chang
05:33:37
Great slides and conceptualization of this domain. Great work Tim!
Alan Young
05:34:18
Please submit questions here or unmute during the Q&A session
Panida Piboolnurak
05:37:47
Are these diagnoses pulled from ICD-10 codes? The problem with ICD-10 listed in the EHR is that some of the ICD-10 codes are not the final diagnosis, but just a code that put in for sending labs or images. For example, if I have a patient possible Multiple Sclerosis. When I order brain MRI, I have to put in my suspected diagnosis. But, it might not be the final diagnosis.
Dony Ang
05:39:06
I think the example that you have described in your presentation for a person who fall from 2-story building is called co-occurences but my question is how do you filter out the irrelevant diagnosis / trauma.
Piyush Mathur
05:39:20
What are the pitfalls of this approach that one needs to be cautious of?
Panida Piboolnurak
05:39:55
I do not use microphone.
Ajay Perumbeti
05:40:48
Is the advantage of graph databases with nodes and edges that they are better native visualizations. Is it a more efficient way to connect data?
Piyush Mathur
05:45:01
For the data scientists,preprocessing is important part.You don’t want social or family history getting into problems
Piyush Mathur
05:45:26
Thanks!
Alan Young
05:46:22
Get ready for our next talk from Dr. Abudlhussein in 1 minute!
Avneesh Khare
05:47:46
Great topic👍
Avneesh Khare
05:48:23
This is really imprtant
Tim McLerran
05:49:24
Thanks again for the opportunity to represent the working group! We would love to have your input on which use cases should receive out attention going forward. Please vote or add your own at https://www.reddit.com/r/GrApHAIUseCaseQueue/
Alan Young
05:49:55
Please drop your questions into the chat or feel free to unmute during the Q&A session
Avneesh Khare
05:50:43
Are there any opportunities for non NHS physicians too?
Anthony Chang
05:51:17
Great work Hatim that you are doing in the UK and looking forward to collaborate even more. Glad to have you be part of the student/trainee section of the MIS.
Piyush Mathur
05:52:03
Agree with Anthony.Very important work!
Panida Piboolnurak
05:52:56
The technology also has to be affordable.
Avneesh Khare
05:53:14
Wonderful insights!
Avneesh Khare
05:56:56
How can one be part of such a multifunctional team?
Piyush Mathur
05:58:53
ABAIM review course and Dr Hoyts MIS training opportunities are great.
Piyush Mathur
05:59:18
MIS website lists many learning opportunities
Avneesh Khare
05:59:32
Great. Thanks :)
Avneesh Khare
05:59:51
Thank you Dr Piyush 👍
Alan Young
05:59:56
There will be a 15-minute break now, please return at 12:30pm PST/3:30pm EST for Session 5 moderated by Dr. Hamilton Baker!
Joe Morgan
06:00:02
Great talk Hatim!
Avneesh Khare
06:00:11
Great talks
Avneesh Khare
06:00:15
Having a great time
Hatim Abdulhussein
06:01:00
https://www.futurelearn.com/courses/artificial-intelligence-in-healthcare
Hatim Abdulhussein
06:01:32
this free course is open to international audiences
Hatim Abdulhussein
06:01:54
and a great starter for ten to understand how we might be applying AI to our healthcare sustem
Avneesh Khare
06:06:52
Thank you Dr Hatim
JG Viewing
06:09:35
https://www.misociety.org/
JG Viewing
06:10:44
https://abaim.org/
Anthony Chang
06:11:38
Great job with moderating Alan!
Avneesh Khare
06:15:31
yes
Avneesh Khare
06:16:21
Can see the slides
Hamilton Baker
06:24:28
Send any questions for Quinn for the discussion, thx!
Panida Piboolnurak
06:25:09
How did you decide which cells to crop?
Anthony Chang
06:32:59
Very impressive works by our speakers in this session. Thanks for moderating Hamilton!
Robert Hoyt
06:41:34
It does appear that federated learning performs external validation, unlike more models that come from one medical center
Eric Eskioglu
06:42:13
Johnson, great talk! EE
Avneesh Khare
06:43:33
Great talk. I can already think about applications in chronic pain management.
Grace Abby Adan
06:43:39
This is very helpful for collaborations between academic medical centers. Could be really great also for rural health partnerships to pool data. Great talk, Dr. Qian!
Robert Hoyt
06:44:06
Helpful articles/references
Anthony Chang
06:46:19
Very good summary talk on federated learning and great idea to consider.
Avneesh Khare
06:46:38
https://arxiv.org/abs/2101.04800
Avneesh Khare
06:47:01
Personalized Federated Deep Learning for Pain Estimation From Face ImagesOgnjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard
Mohammed Hassan Mohammed
06:49:17
I am intersting, if any collaborative AI project in the Pediatric Cardiology especially advance imaging. moh100hassan@gmail.com
Avneesh Khare
06:53:08
This is great for traiging!
Avneesh Khare
06:53:29
👏
Ajay Perumbeti
06:56:19
was delta variant predicted by AI models
Anthony Chang
06:57:29
AI models have a difficult time with COMPLEX phenomena as these are much less predictable.
Anthony Chang
06:57:44
Great review of AI tools in COVID by Alan.
Avneesh Khare
06:58:03
Great talk Dr Alan 👍
Regina Chinsio-kwong
06:58:22
Great talk and summary!
DOREEN ROSENSTRAUCH
06:59:33
Thank you for interesting presentations and insights. I am big advocate of patients owning their own data and controlling access to their health data. How would one selectively share health data with a provider or any other party and then at any point in time withdraw or block access to their health data?
Alan Young
06:59:53
Thank you everyone for your time at the MIS Summit! Feel free to connect via LinkedIn - https://www.linkedin.com/in/everyounghealthmd/
Hamilton Baker
07:01:21
Great job by all the speakers in the session!
Alan Young
07:03:06
Thank you Hamilton for moderating!
Eric Eskioglu
07:13:50
We will start session 6 in 2 minutes! EE
Eric Eskioglu
07:16:10
Please put your questions for Dr. Lei on the chat. Thx EE
Robert Hoyt
07:17:03
Undiagnosed PDAs are a cause of cerebral emboli, known as paradoxical embolization in adults
Eric Eskioglu
07:18:13
Yes, I have treated adults as old as 72 years old who had stroke due to PDA and had no idea their whole life they had it. EE
Eric Eskioglu
07:24:37
Why not use only RNN for this study since it is dynamic? EE
Hamilton Baker
07:25:11
Are you considering applying this method to identifying other congenital heart defects?
Animesh Tandon, M.D., M.S.
07:25:27
Would you have been able to use the EKG tracing to decide when is diastole, then use those images?
JAWAHAR JAGARAPU
07:30:09
Can the algorithm classify the pda small vs moderate vs large …. That s the actual question neonatologists look for when ordering ECHO for PDA for treatment implications
Tim McLerran
07:37:19
Do you foresee that the AI consult service will evolve from a purely research service to a clinical service as algorithms are implemented into clinical workflows?
John Lee
07:41:36
Would you consider spinning this off as a service available to orgs without these resources?
John Lee
07:41:59
ie: data science as a service
John Lee
07:43:46
I'd like access to that IPO
Eric Eskioglu
07:47:24
@Hamiltonbaker that was an awesome blue print for AI services! Thanks for sharing your insights. EE
Robert Hoyt
07:49:29
@Hamiltonbaker - I recommended that a local university develop a ML/AI consult service 4 years ago and they laughed at me. You are ahead of the power curve
Hamilton Baker
07:55:49
@Roberthoyt - Thanks! too bad they didn’t listen to you. I hope it is a viable long-term model that will be widely adopted