Pranav Rajpurkar PhD
@rajpurkar.bsky.social
📤 722
📥 76
📝 23
Radiology AI | Asst Professor at Harvard medical school | Co-Founder a2z Radiology AI
reposted by
Pranav Rajpurkar PhD
Jonathan H Chen MD PhD
6 months ago
@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
2
4
2
A pleasure to be included as part of the innovation driving our field forward!
add a skeleton here at some point
6 months ago
0
4
0
reposted by
Pranav Rajpurkar PhD
Eric Topol
6 months ago
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
1
73
26
reposted by
Pranav Rajpurkar PhD
Eric Topol
8 months ago
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...
loading . . .
When Doctors With A.I. Are Outperformed by A.I. Alone
Interpreting Some Surprising Results
https://erictopol.substack.com/p/when-doctors-with-ai-are-outperformed
9
89
24
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...
loading . . .
Opinion | How Doctors Can Best Integrate A.I. Into Medical Care
Research suggests physicians are undervaluing how artificial intelligence can improve medical care.
https://www.nytimes.com/2025/02/02/opinion/ai-doctors-medicine.html
8 months ago
0
5
2
reposted by
Pranav Rajpurkar PhD
Roxana Daneshjou, MD, PhD
9 months ago
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...
loading . . .
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 ...
https://www.nature.com/articles/s41591-024-03328-5
3
47
15
reposted by
Pranav Rajpurkar PhD
Eric Topol
9 months ago
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
loading . . .
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.
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(24)02797-1/fulltext
1
75
17
reposted by
Pranav Rajpurkar PhD
Eric Topol
9 months ago
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...
6
114
32
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.
9 months ago
1
6
1
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.
10 months ago
1
9
4
reposted by
Pranav Rajpurkar PhD
Dr Sergey Morozov
10 months ago
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
0
1
1
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/...
10 months ago
1
7
0
“Automation neglect” may be responsible for suboptimal human ai collaboration
@erictopol.bsky.social
@rsnasky.bsky.social
#rsna24
#radiology
#ai
10 months ago
0
7
1
No FDA approved Ai for level 3 and 4 AI!
10 months ago
0
3
0
Opportunistic screening AI evidence!
@erictopol.bsky.social
@rsnasky.bsky.social
#rsna24
10 months ago
0
4
0
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
10 months ago
1
5
0
Excited for the keynote of
@erictopol.bsky.social
at
#RSNA24
.
10 months ago
0
7
0
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
10 months ago
0
8
0
reposted by
Pranav Rajpurkar PhD
Eric Topol
10 months ago
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
3
213
43
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.
10 months ago
1
14
7
140 Findings. The most comprehensive detection for abdomen-pelvis CTs. This is what it means to go from A to Z.
loading . . .
10 months ago
0
1
0
Looking forward to discussing some science!
10 months ago
0
0
0
you reached the end!!
feeds!
log in