Danielle Bitterman, MD
@dbittermanmd
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
🩺💡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: huggingface.co/blog/shanchen/…. We'll be at #EMNLP2024 - come chat if you have similar interests!
Join Cancer AI Conversation on July 22, 2025. Drs. @pearsekeane (@ucl ) & @dbittermanmd (@harvardmed ) will discuss the use of synthetic data for privacy-preserving AI in a webinar moderated by Dr. @hjhanson (@ORNL ). Registration: events.cancer.gov/nci/cancer-ai-…
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 AI—especially LLMs—in cancer care. More here: linkedin.com/posts/danielle…
Does your LRM reason in your language? Check out new preprint led by ✨ @Jirui_Qi & @shan23chen. Implications for safety/human oversight & accuracy!
[1/]💡New Paper Large reasoning models (LRMs) are strong in English — 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 📄Link: arxiv.org/abs/2505.22888
What Will It Take to Translate AI Research into Clinical Advances? @dbittermanmd magazine.hms.harvard.edu/articles/what-…
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! More👇 moreirap12.github.io/mbc-browse-app/
[1/]💡New Paper Large reasoning models (LRMs) are strong in English — 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 📄Link: arxiv.org/abs/2505.22888
🌐🏥 Introducing MedBrowseComp, a challenging deep research benchmark for LLM agents in medicine MedBrowseComp is the first benchmark that tests the ability of agents to retrieve & synthesize multi-hop medical facts from oncology knowledge bases.
[1/]💡New Paper Large reasoning models (LRMs) are strong in English — 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 📄Link: arxiv.org/abs/2505.22888
.@dbittermanmd, a physician-scientist at Mass General Brigham, joined leading experts at the @statnews Breakthrough Summit West yesterday in San Francisco to discuss the future of AI in cancer care. As both a radiation oncologist and AI researcher, she brought a unique…
Large language models in oncology: a review bmjoncology.bmj.com/content/4/1/e0… via @dbittermanmd et al @Maherjane @DrMarkLythgoe
On 5/14, our very own @dbittermanmd from @BrighamWomens participated in a panel at @statnews Breakthrough Summit West! The panel discussed the importance of #AI in cancer care.
Time for: AI in Cancer Care On the stage: - @dbittermanmd - @DrKarenKnudsen - @CliffordHudis - STAT's @angRchen We'll hear a wide-ranging view of how the use of technology could play out over the next few years. #STATBreakthrough #AI
I’m thrilled to be in San Francisco for @statnews’ Breakthrough West Summit! I’ll 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,…
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.
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.
1/4: Excited to share that our work on "Collaborative large language models for automated data extraction in living systematic reviews" has been published in the @JAMIA_Journal. Grateful to @IrbazRiaz @cbaral @M_Hassan_Murad @JeannePalmerMD for their support and guidance.
I need people to understand how difficult it is to get an NIH grant. You spend months writing a proposal, following strict guidelines that include a detailed multiyear budget, bios of everyone on your team, plans for participant safety & ethical conduct. Then you send it off -1/n
AI in Radiation Therapy: @SteveJiangPhD, @matthewdeek, Danielle S. Bitterman, Philip A. Sutera, and Ruijiang Li addressed this topic in a plenary session at the AACR Conference on Translating Targeted Therapies in Combination with Radiotherapy. #AACRradiation25 @dbittermanmd
In addition to the research funded by the NIH, I am grateful and indebted to the dedicated NIH scientists & staff. Their work advances breakthroughs, scientific careers, and improves & saves lives across the U.S
41% of all births in the US are covered by Medicaid. Overnight, Republicans are destroying healthcare for millions of Americans - and it isn’t just Trump. Republican majorities in the House and the Senate are backing this illegal sabotage. They are ALL in on it. Every one.
UPDATE: Numerous sources now ARE reporting problems with the Medicaid payment system, per @ddiamond. More TK