AI in Medicine Student Society

Started by a couple of students at @uoftmedicine to further the dialogue on how our field is rapidly changing. Banner credit: The AI World Forum

[Michael Balas @theMichaelBalas]

Thrilled to have the preeminent @MamdaniM speak to UofT med students about healthcare AI and all the great things @UofT_TCAIREM & @Signal1_AI is up to - with a preview of things to come! Stay tuned for some very, very exciting developments…
@aimss_uoft Speaker Series

[Michael Balas @theMichaelBalas]

What a fantastic talk to kick off our first @aimss_uoft 2022 Speaker Event! Thank you Dr. Shazia Akbar, Lead Machine Learning Engineer at @altislabs, for teaching med students the fundamentals of AI and inspiring us with the great work being done in the realm of medical imaging.

[AI in Medicine Student Society @aimss_uoft]

JOIN US! for a special talk with Dr. David Benrimoh, a psychiatry resident @McGill and Chief Science Officer at @aifredhealth on APRIL 27! #artificalintelligence #psychiatry Register: https://t.co/Sx1UFKg1FJ

[AI in Medicine Student Society @aimss_uoft]

Join us for Journal Club #2: Ethical AI in Radiology on Feb 19, 2021 from 7:00 - 8:00 PM EST. #AI #radiology #medicine #journalclub

https://t.co/MK3iGHT77N

[Tania Saha @TSahaCAN]

It is not just about the code, but it is important how we COMMUNICATE what the code does to ensure clinical inclusion. @NedadurRashmi @aimss_uoft #AIinHealthcareResearchPanel #AI #medicine

[AI in Medicine Student Society @aimss_uoft]

Great talk by Dr. Chow. A brilliant quote to guide us.

RSVP Journal Club w/ Cardiology & AI this Wed (Jan20): https://t.co/SReNunuhAE

[AI in Medicine Student Society @aimss_uoft]

Today @ 5 PM (in a few minutes!) join Dr. Chow talk about Medical App Development! Register! https://t.co/AbvhTyBriz

[AI in Medicine Student Society @aimss_uoft]

🩺🖥️ Keep a lookout, we will be announcing exciting new events that will be available to @uoftmedicine students AND med students across Canada and the world! #medicine #artificial_intelligence

[Temerty Medicine @uoftmedicine]

The power of computing to transform diagnostic tools, identify personalized treatments & better understand population health are now evident. How are we harnessing the power of AI at @uoftmedicine? We'll explain ➡️ https://t.co/B05K6K0ACw

[Vinyas Harish @VinyasHarish]

Proud to be at such a forward-thinking institution @uoftmedicine -- especially today as we celebrate the Temerty family's gift which will, in addition to so much more, help make us a world leader in #AI for medicine and #ML4H 🇨🇦

[Vinyas Harish @VinyasHarish]

See below for our review on designing and deploying #MachineLearning applications in pediatrics 🧒🏼👶🏾👩🏿‍🦱 Thanks so much to @sujnagaraj & @DrDevSK for the opportunity to learn from you both and all the other co-authors, this was great fun to put together!

[Felipe Morgado @FPMorgado]

Privacy, informed and continuing consent, and developmental changes are just some of the factors that make #MachineLearning for #pediatrics totally different from ML for adult health. Thanks @sujnagaraj for leading this piece!

[Sujay Nagaraj @sujnagaraj]

Kids are not just mini adults!

When it comes to #MachineLearning in #pediatrics, a unique approach is required. In order to address this, we recently published this review piece:

https://t.co/bHtqik0F6I

[Students of U of T's MD–PhD Program @uoftmdphd]

Our @sujnagaraj @VinyasHarish @FPMorgado outline considerations for implementing machine learning to care for children.
Ex: "The difference in the probability of a diagnosis b/w a 1 and 10yo is generally going to be greater than the difference between a 50 and 60yo"👶💻
Read on:

[Schwartz Reisman Institute @TorontoSRI]

We're proud to be sponsors of #UofTAI's ProjectX, an international undergraduate machine learning competition happening this fall! These brilliant young people will be tackling various aspects of climate change with ML. Get to know them in a short video: https://t.co/UW1k2vC5KN

[Andrew Soltan @andrewsoltan]

Find out more about our #AI screening test for Covid-19 @UniofOxford
- We show AI can screen for #Covid-19 during triage using routine bloods & vitals @OUHospitals
- Model accurately predicted Covid status in A&E for >90% of patients in 2 week test
#NHS #digitalhealth #MedTwitter

[Students of U of T's MD–PhD Program @uoftmdphd]

What should medical students know about artificial intelligence? How to (1) use (2) interpret (3) explain AI tech.

@sujnagaraj @FPMorgado @VinyasHarish break down how @uoftmedicine @harvardmed @MIT are tackling this.
Read @nature_npj Digital Medicine: https://t.co/GfaRCQutts

[Liam McCoy, MD MSc @LiamGMcCoy]

For 2, you need to promote deep dives for keen students through programs like @uoftmedicine's “Computing for Medicine” as well as dual MD-PhD/MSc programs w/ CS for those who DO love the math. Encourage student groups (@aimss_uoft) + collabs outside of medicine like datathons 7/x

[Liam McCoy, MD MSc @LiamGMcCoy]

What, exactly, do medical students actually need to know about artificial intelligence? My co-authors and I draw on experiences @uoftmedicine @mitcriticaldata @harvardmed to explore this question in Nature Digital Medicine https://t.co/XqMnUG1Nzm #MedEd 1/9

[Temerty Medicine @uoftmedicine]

Race-based data, AI, COVID-19 & Black well-being: why data literacy matters during the pandemic & beyond.

Explore the relationship of surveillance, data collection, public health, AI, the COVID-19 pandemic, and the implications for Black communities.
https://t.co/hkvE6kC3Oh