
Marzyeh
@marzyehghassemi
Healthy Machine Learning @
MIT EECS/IMES & Vector Institute
ID: 1428486968
http://www.healthyml.org 14-05-2013 18:05:52
1,1K Tweet
7,7K Followers
210 Following

🌟 Congrats to #JameelClinic PIs fotini christia, Marzyeh, RGB Lab @ MIT, Regina Barzilay, Connor W. Coley, & Tommi Jaakkola on being awarded grants by the Massachusetts Institute of Technology (MIT) President & Provost for proposed research on the societal impact of generative AI! news.mit.edu/2023/mit-schol…





Exciting News! CHIL 2024 features a stellar lineup of speakers and panelists. Get ready to dive into the latest innovations in computing, healthcare, and AI with Samantha Kleinberg, Sanmi Koyejo, Deb Raji, Leo Anthony Celi, David Meltzer, Kyra Gan, and Girish Nadkarni! 🌟


🚨 Deadline Extension Alert 🚨 We’re extending our submission deadline to Feb 16th EoD! 🎉 Don’t miss the opportunity to polish your work & submit the best version of your paper! chilconference.org/call-for-paper… #CHIL2024 #CallForPapers #ml4h #machinelearning #ai #health #MoreTimeToShine


In this installment of “AI and Clinical Practice,” Marzyeh discusses her research lab at Massachusetts Institute of Technology (MIT) which specializes in examining biases in AI, specifically in clinical practice. #JAMAai Also on Apple Podcasts Spotify: JAMA Medical News ja.ma/42zPBjw






When tested across tasks, diseases and imaging modalities, performance of AI models depends on encoding of demographic shortcuts and correcting for them decreases their ability to generalize in new populations Nature Medicine Marzyeh Judy Gichoya nature.com/articles/s4159…


A person can convey their level of certainty about a prediction, but what about an AI model? Nathan Ng, Roger Grosse, & #JameelClinic PI Marzyeh propose an uncertainty estimation approach in a paper that was recently accepted to ICML Conference! news.mit.edu/2024/when-to-t…


We know that bias is a major challenge for AI in health, so how can we make AI models fairer? In a paper for Nature Reviews Cancer, #JameelClinic PI Marzyeh & Dana-Farber's @alexandergusev discuss approaches to reducing bias in AI models for cancer: nature.com/articles/s4156…



Excited to announce that our paper, “A toolbox surfacing health equity harms and biases in large language models” is now published with Nature Medicine: nature.com/articles/s4159….