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This has been one of the most rewarding months of my research career and such an exciting year It’s impossible to fix what we can’t measure, so we’re using AI to bring us closer to that goal. Our team developed an #NLP model to extract and assess functional status descriptors

A pleasure to share thoughts on "AI to enable learning from modern health systems" as part of the #AHA24 #QCOR session 🤖AI can enhance a learning health system ⚠️Caution around bias and privacy 🔁A culture of shared responsibility enables strong feedback loops

Busy 🚨 poster sessions for CarDS Lab sharing AI cardiology insights AHAMeetings #AHA24 🫀Revolutionizing Cardiac Care: Innovations in AI-ECG 📑From Clinical Trials to Electronic Health Record Summarization: How AI Is Revolutionizing Treatment Discovery and Delivery

Happening now at #AHA2024 room S104b-Health Technology and the Future of Clinical Trials! An important primer of what’s to come in evidence based cardiology! With CarDS Lab moderators Rohan Khera Philip Adejumo!

Excited to be co-moderating Featured Science Health Technology and the Future of Clinical Trials at #AHA2024 with Rohan Khera and Alexis Beatty. For those in attendance, please submit questions in the application so we can work them into the Q&A

Happening now in S104B #AHA24 - CarDS Lab w a prominent showing at "Smart Hearts - Transformative Technologies in Cardiovascular Care" Moderated by our very own Philip Adejumo 🙌 With 3 talks by team members, Aline Pedroso & elianna Knight

Lovedeep Dhingra CarDS Lab AHA Science Rohan Khera Yale Cardiology Yale Internal Medicine Philip Adejumo CarDS Lab presents A Deep Learning Topic Analysis Approach for Enhancing Risk Assessment in Heart Failure Using Unstructured Clinical Notes AHA Science #AHA24

🎉 New article out from our super ⭐ lab member and #NLP specialist Philip Adejumo JAMA Network Open! This study builds upon our growing body of work to unlock the potential of unstructured data in automated quality measurement and patient phenotyping. CarDS Lab

Happy New Year from my friends & work family at CarDS Lab. Grateful for 2024, where we grew our group & strengthened our culture & community around advancing science while having fun 😊 Hoping to build on this foundation in 2025! Yale School of Medicine Yale Cardiology

Imagining a Jayden Daniels/Lamar Jackson Super Bowl.

New in #JACCHF: A new automated #deeplearning language model developed by CarDS Lab was able to accurately diagnose #HFrEF using #EMR documentation jacc.org/doi/10.1016/j.… Rohan Khera Harlan Krumholz

Breaking: Biden issues pardon to Mark Andrews

These systems are so good as is right now that they nail the diagnosis of ADEM even when you give them a stone cold normal MRI! (it does get that it's T2 though, so I guess that's something)

Hugging Face researchers are trying to build a more open version of DeepSeek’s AI ‘reasoning’ model tcrn.ch/4jyBoLE

I’m extremely excited and fortunate to have been awarded a NRSA F30 Fellowship by the National Cancer Institute! This grant further enhances my integrated research and clinical training as I pursue a career as a physician-scientist. Grateful to my PI, mentors, and support system!

JD Vance, who has probably never picked up a pipette in his life, is going to single-handedly fix the reproducibility crisis in academia, guys.

Table stakes for participation in the AI-and-cognitive-skills debate should be deep familiarity with the Extended Mind Thesis and a clear articulation of why your worries are different from those of Plato 2,400 years ago who bemoaned that writing would erode memory and knowledge.

A picture of the global AI infrastructure. What do you see? Full article here: nytimes.com/interactive/20… If you found this useful, a repost ♻️ makes my heart happy. And a subscription to my newsletter makes my day. decision.substack.com

“Curiosity and grit > PhD” sounds good until you realize most folks at these companies have curiosity, grit, and Stanford/MIT/Caltech degrees plus elite track records. The degree still matters. They’re just adding new differentiators to weed people out. Let’s be real.