Pranav Rajpurkar PhD
@rajpurkar.bsky.social
Radiology AI | Asst Professor at Harvard medical school | Co-Founder a2z Radiology AI
@rajpurkar.bsky.social Biomedical Informatics Research Colloquia “Beyond Assistance: Rethinking AI-Human Integration in Radiology” Pranav Rajpurkar, PhD. Thursday, April 17th, 2025 12:00 to 1:00 pm PST stanford.zoom.us/j/9788759601... Webinar ID: 978 8759 6012 Webinar Passcode: 420642
Our @nature.com paper today on multimodal generative #AI for interpretation of medical images and generating reports across many specialties nature.com/articles/s41... @rajpurkar.bsky.social free access rdcu.be/efcIG
Our op-ed @nytopinion.nytimes.com addresses the surprising results of recent medical studies that showed A.I. alone outperformed physicians using A.I. With @rajpurkar.bsky.social Here is a summary Table, an overview, and a gift link to the op-ed erictopol.substack.com/p/when-docto...
When Doctors With A.I. Are Outperformed by A.I. Alone
Interpreting Some Surprising Results
erictopol.substack.com
Our new essay in @nytimes.com: What if letting doctors and AI each focus on their strengths works better than constant collaboration? Some early & surprising evidence. w/ @erictopol.bsky.social www.nytimes.com/2025/02/02/o...
Opinion | How Doctors Can Best Integrate A.I. Into Medical Care
Research suggests physicians are undervaluing how artificial intelligence can improve medical care.
nytimes.com
How do LLMs really perform in diagnosis? There are claims of superhuman AI performance on clinical vignettes, which have much of the relevant information included. That's not how medicine works. That’s why @rajpurkar.bsky.social and I worked on CRAFT-MD: www.nature.com/articles/s41...
An evaluation framework for clinical use of large language models in patient interaction tasks - Nature Medicine
By simulating realistic doctor–patient conversations, a framework can be applied to large language models to investigate shortcomings and bias in patient interactions, providing insight before actual ...
nature.com
Our new essay @TheLancet on certifying generalist medical #AI systems, from a template of the training process in medicine www.thelancet.com/journals/lan... @rajpurkar.bsky.social
A clinical certification pathway for generalist medical AI systems
There have been extensive evaluations of artificial intelligence (AI) systems for narrow medical tasks, but more work is needed to systematically evaluate and deploy AI systems that can perform a broad range of medical tasks. The medical training process itself might offer a template for addressing this challenge. Clinicians undergo rigorous education and training, progressing through stages of increasing responsibility and autonomy. Similarly, generalist medical AI systems could be subjected to a phased certification model before they are granted greater autonomy in patient care.
thelancet.com
Important #AI chatbot for medical diagnosis report today @naturemedicine.bsky.social by @rajpurkar.bsky.social and colleagues, and coverage @newscientist.bsky.social www.nature.com/articles/s41... www.newscientist.com/article/2462...
Our new Harvard/Stanford study out today in Nature Medicine! Our results show language models, while strong at medical exams, stumble when they need to gather patient information through natural conversation - a key finding as healthcare explores AI integration. How to solve? Enter CRAFT-MD.
I don't think it's widely clear to the #RadiologyAI community just how poorly GPT-4V compares with the top report generation models on chest X-rays, like MedVersa or MAIRA-2. It's clear we need a way to track progress.
Please welcome MedAutoCorrect = Spelling check for medical imaging reports. "Model leverages image-conditioned data processing to enhance the accuracy of medical report generation." It seems simple, yet at the same time, it is incredibly advanced. arxiv.org/pdf/2412.02971 @rajpurkar.bsky.social
Delighted to launch 2 new short courses on AI for Medicine, now open for registration at Harvard Medical School online learning platform! Medical Image Interpretation course page: onlinelearning.hms.harvard.edu/hmx/hmx-pro/...
“Automation neglect” may be responsible for suboptimal human ai collaboration @erictopol.bsky.social @rsnasky.bsky.social #rsna24 #radiology #ai
If a machine makes the same mistake again and again, it's precise. but that's not what we want. We also need accurate AI. Talk from @erictopol.bsky.social at @rsnasky.bsky.social #RSNA
Powerful plenary keynote by @curtlanglotz.bsky.social, painting the vision for a future with intelligent connections in radiology. AI powered draft reporting being showcased on bone x-rays
The @rsnasky.bsky.social meeting is the largest medical meeting in the world. The radiology community is the pacesetter for medical #AI, that we can all learn from. I'm excited to give a presentation during tomorrow morning's plenary session reg.meeting.rsna.org/flow/rsna/rs... #RSNA2024
Excited to be back at #RSNA2024! 🎉 It's going to be a packed one. I'm delighted to showcase a2z-2: our AI model that can detect 140 findings in abdomen-pelvis CT scans, ranging from acute appendicitis to aortic aneurysms. It is currently available for research use and clinical trials.
140 Findings. The most comprehensive detection for abdomen-pelvis CTs. This is what it means to go from A to Z.
