Danielle Bitterman, MD
@dbittermanmd
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I'm a physician-scientist working in NLP and clinical AI evaluation. You'll find me in the lab or the rad onc clinic @ BWH | DFCI | Harvard Medical School
Boston, MA
Joined March 2017
š©ŗš”The Bitterman lab has spend much of the past year researching #LLMs for healthcare. This post summarizes our inroads into making LLMs safer and reliable for clinicians and patients: We'll be at #EMNLP2024 - come chat if you have similar interests!.
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RT @shan23chen: Accept as main paper at EMNLP25! Also going to present this friday at NEMI! See you then!.
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The most fun image & video creation tool in the world is here. Try it for free in the Grok App.
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RT @Jirui_Qi: Our paper on multilingual reasoning is accepted to Findings of #EMNLP2025! š (OA: 3/3/3.5/4). We show SOTA LMs struggle withā¦.
arxiv.org
Recent Large Reasoning Models (LRMs) with thinking traces have shown strong performance on English reasoning tasks. However, their ability to think in other languages is less studied. This...
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RT @RKouzyMD: In this new piece just published in @LancetDigitalH we argue why we have one shot at trust with medical AI, and how weāre atā¦.
thelancet.com
The landscape of medical artificial intelligence (AI) is experiencing unprecedented momentum. Since January, 2023, the number of publications on this subject has remarkably increased, with each new...
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RT @UofC_CGH: Join Cancer AI Conversation on July 22, 2025. Drs. @pearsekeane (@ucl ) & @dbittermanmd (@harvardmed ) will discuss the useā¦.
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Are you driven to use AI to transform patient outcomes in oncology? My lab in the AI in Medicine Program (Mass General Brigham, Harvard Medical School) is seeking Postdoc Fellows to pioneer applications of AIāespecially LLMsāin cancer care. More here:
linkedin.com
š Join Us at the Forefront of AI & Cancer Care Are you driven to use cutting-edge AI to transform patient outcomes in oncology? My lab within the AI in Medicine Program (Mass General Brigham,...
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Does your LRM reason in your language? Check out new preprint led by āØ @Jirui_Qi & @shan23chen. Implications for safety/human oversight & accuracy!.
[1/]š”New Paper.Large reasoning models (LRMs) are strong in English ā but how well do they reason in your language?. Our latest work uncovers their limitation and a clear trade-off:.Controlling Thinking Trace Language Comes at the Cost of Accuracy. šLink:
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RT @agingdoc1: What Will It Take to Translate AI Research into Clinical Advances?. @dbittermanmd . .
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Agents are all the rage and we need to measure and track their abilities in the medical domain. Enter MedBrowseComp, the 1st benchmark to assess agents' abilities to reason, navigate the web, and search for verifiable med info! . Moreš.
Designing a hard but useful benchmark has always been a passion of mine. Here we present MedBrowseComp, a deep research + computer use benchmark that is easy to verify (like BrowseComp from @OpenAI) but still very expandable š!. Project page:. 1/n
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RT @shan23chen: Designing a hard but useful benchmark has always been a passion of mine. Here we present MedBrowseComp, a deep research + cā¦.
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RT @SRSchmidgall: šš„ Introducing MedBrowseComp, a challenging deep research benchmark for LLM agents in medicine. MedBrowseComp is the firsā¦.
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RT @MassGenBrigham: .@dbittermanmd, a physician-scientist at Mass General Brigham, joined leading experts at the @statnews Breakthrough Sumā¦.
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RT @pash22: Large language models in oncology: a review.via @dbittermanmd et al @Maherjane @DrMarkLythgoe
https://tā¦.
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RT @MGBResearchNews: On 5/14, our very own @dbittermanmd from @BrighamWomens participated in a panel at @statnews Breakthrough Summit West!ā¦.
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RT @statnews: Time for: AI in Cancer Care. On the stage:.- @dbittermanmd .- @DrKarenKnudsen .- @CliffordHudis .- STAT's @angRchen . We'll hā¦.
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Iām thrilled to be in San Francisco for @statnewsā Breakthrough West Summit! Iāll be bringing my firsthand perspective as a physician-scientist at @MassGenBrigham to speak about how AI is transforming cancer care. Let's connect if you're here!.#STATBreakthroughSummitWest.
AI in Cancer Care. Artificial intelligence has the potential to upend oncology, changing everything from diagnosis to treatment options. Get a wide-ranging view of how the use of technology could play out over the next few years. Moderated by @angRchen .With: @dbittermanmd,
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Conference and professional societies: PLEASE make hybrid options available for attendees and presenters at your conferences so that scientists from HHS-funded agencies can attend. These are unmissable opportunities to hear from top-notch great intramural science and scientists.
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As a cancer doctor I see every day how NIH-funded clinical trials save lives. Here's 1 example: In the 1970s, childhood cancer survival was only 58%. Today it is 85%, largely thanks to NIH/NCI funding of Children's Oncology Group trials.
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RT @muhammadalik_: 1/4: Excited to share that our work on "Collaborative large language models for automated data extraction in living systā¦.
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