David M Kent
@tufts_pace
Simple country doctor, interested in prediction. Director, Tufts MC PACE Center (=Predictive Analytics & Comparative Effectiveness);
ID: 3298069334
https://bit.ly/37fGBBZ 27-07-2015 16:12:08
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Great to see Ben Wessler, one of our ⭐️early career faculty and former fellow and student, presenting at GR this week. Tufts Medical Center Tufts Medical Center Research tuftsctsi David M Kent
Tomorrow, Michael Pencina, PhD and Matthew Elmore present "The Coalition for Health AI (CHAI): Vision and Early Directions". Join us from 2-3 PM EST at michamp.med.umich.edu/events-seminars
Beautiful Op-Doc tribute to San Zaw Htway--Burmese artist, activist, political prisoner--in today's The New York Times by the great directors petr lom and Corinne van Egeraat (Corinne van Egeraat); Petr and Corrine have been documenting moving stories of struggle in Myanmar for the better
Viewpoint in JAMA Neurology on covert cerebrovascular disease by Thomas Meinel JoannaWardlaw and David M Kent jamanetwork.com/journals/jaman…
🔍Excited for Sarah Jabbour & Michael Sjoding's presentation on "AI for Clinical Diagnostic Decision Making: Can Explainability be a Back-Stop Against Biased AI?" at michamp.med.umich.edu! Join us as we explore the intersection of AI, healthcare, and ethics. #ClinicalAI #EthicalAI
📣 Join us for a thought-provoking seminar "Everything but the Kitchen Sink" with Harvard University's @5harad, Professor of Public Policy. Don't miss this #MiCHAMP Big Data & AI in Healthcare session. 📅3/15/24 |⏰ 2-3 PM EDT | michamp.med.umich.edu #AIinHealthcare #BigData #EthicalAI
In which Andrew Vickers attempts to explain the nuances of decision curve analysis to gastroenterologists, hospitalists, hematologists, etc Not to be missed!
It was great fun to host Andrew Vickers for our annual CTS Symposium, where he connected with Jerome P. Kassirer whose work 50 years ago with Steve Pauker on the threshold approach to decision making laid the foundation for Decision Curve Analysis. Unfortunately, Charles Pierce was
An analysis found that the clinical net benefit of using race-aware models over race-unaware models for disease risk prediction was smaller than expected. bit.ly/3Zyatrx Madison Coots @HarvardMed Soroush Saghafian David M Kent @5harad
The use of race in clinical risk models is heavily debated. While race-aware models can be more accurate, some are concerned about reinforcing racialized views of medicine. In our paper in Annals of Int Med, we offer a new perspective on this debate. 🧵👇 annals.org/aim/article/do…
Our December newsletter is out! 📰 Check your inbox for updates featuring David M Kent and Dr. Keren Ladin in npj Digital Medicine, @neva9257 in Journal of Law and the Biosciences, Jeffrey peppercorn MD in Medscape, and so much more. us19.campaign-archive.com/?u=116f1536d98…