David Sontag
@david_sontag
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CEO & Co-founder @layerhealth. Professor, MIT. Research on machine learning in health care. Part of @MIT_CSAIL, @MIT_IMES, @MITEECS, @AIHealthMIT
Massachusetts Institute of Technology
Joined February 2012
MIT's class on Machine Learning in Healthcare is now available for free on MIT's OpenCourseWare! All videos, slides, and lecture notes can be found here:.
youtube.com
Instructors: David Sontag, Peter Szolovits View the complete course: https://ocw.mit.edu/6-S897S19 Introduces students to machine learning in healthcare, the...
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RT @HealthDataHub: @ChariteBerlin @APHP @doctolib @ImplicityHealth @nabla_ai #AI4Health 🎙️ Back-to-back high-level talks:. 🔹 From Predictio….
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RT @valeriechen_: You can try out proactive coding assistants built on @continuedev here: We're excited for people….
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RT @Flora__Jia: 🩺 Open-source large language models now perform well across various clinical natural language processing tasks, even though….
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RT @layerhealth: We are thrilled to announce our partnership with @Intermountain to deploy Layer Health's AI platform for clinical registr….
fiercehealthcare.com
Intermountain Health is deploying Layer Health’s artificial intelligence for clinical data abstraction to improve its quality reporting and clinical registry submissions in stroke, surger | Layer’s...
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RT @valeriechen_: What if AI didn't wait for developer questions, but could anticipate their needs? Our new #CHI2025 paper rethinks designi….
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I'm thrilled to announce Layer Health's $21M Series A, by @definevc, @FlareCapital, @GVteam and @MultiCareHealth. More in Forbes:.
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RT @AIHealthMIT: Large language models often "hallucinate," giving misleading/incorrect information. #JameelClinic PI @david_sontag recentl….
news.mit.edu
A new system helps human fact-checkers validate the responses generated by a large language model. By speeding validation time by 20 percent, the system could improve manual verification and help...
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RT @HsseinMzannar: Are LLMs actually helping us code faster or is it just more fun? . To answer this, we created RealHumanEval, a code edit….
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Thanks MIT for covering this just published ACL '24 paper by my students @shannonzshen and @hunterjlang, in collaboration with @bailin_28 and Yoon Kim!. Paper:
Can LLMs learn to "phone a friend?" 🧵. MIT CSAIL’s new "Co-LLM" algorithm can pair a general-purpose base LLM w/a more specialized model & help them work together. It reviews each token & sees where it needs to call upon an expert, leading to more accurate & efficient replies to
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RT @SanjatKanjilal: New preprint dropped!. Times have changed since the IDSA released tx guidelines for uncomplicated UTI in 2010. We looke….
medrxiv.org
Background Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimicrobial therapy. National guidelines for the management of uncomplicated UTI were published by the...
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RT @TheMarkFdn: No two cases of multiple myeloma are alike, making treatment decisions a challenge. In @npjDigitalMed, ASPIRE awardee @davi….
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RT @ilkerdemirel_: Excited to present our work at #ICML2024,. “Prediction-powered Generalization of Causal Inferences.”. Limited external v….
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RT @AIHealthMIT: What personalized cancer treatment options are there when clinical trials aren't able to test every patient scenario? @zes….
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RT @HsseinMzannar: So happy to defend my PhD thesis and couldn't have done it without a 1 of 1 advisor @david_sontag and an incredible com….
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RT @erichorvitz: Congratulations to Dr. Hussein Mozannar. @HsseinMzannar Strong dissertation research exploring multiple dimensions of hum….
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RT @shannonzshen: Co-LLM can help achieve better performance than using a single model alone. We experimented with co-llm generations at d….
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RT @shannonzshen: Thanks @_akhaliq for tweeting our work!. 🤝Co-LLM trains a language model to collaboratively decode with other LMs. It dec….
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RT @_akhaliq: Learning to Decode Collaboratively with Multiple Language Models. We propose a method to teach multiple large language models….
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RT @BondiElizabeth: How do LLMs like #ChatGPT impact clinical note readability? LLM augmentations enhance understanding (from user study wi….
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