🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Why support #research spearheading the effort to use #AI summarization of #EHR notes? Because 1 in 5 patients arrive at the hospital w/ a chart comparable to the size of Moby Dick (206,000 words)!!! Thank you Drs Osvaldo Mercado, Sinha, Proctor & Lawton Children's Hospital #CIC25

In this #CVPR2025 edition of our community-building workshop series, we focus on supporting the growth of early-career researchers. Join us tomorrow (Jun 11) at 12:45 PM in Room 209 Schedule: sites.google.com/view/standoutc… We have an exciting lineup of invited talks and candid

Want the best local advice and conference insights? Join our Local Organizing Committee as they share what to expect at #MICCAI2025! 📅 Fri, 27 June 2025 ⏰ 1 PM UTC Registration is free and required: 🔗 us02web.zoom.us/webinar/regist…

🚨 Deadline Extended 🚨 The EMERGE Workshop at #MICCAI2025 is still accepting submissions! Don't miss your chance to share your ideas as an early-career researcher in the #MICCAI community. 🗓️ Submit by 30 June 2025 🔗 Find out more: miccaimsb.github.io/emerge/

Happy to share the launch of the first MICCAI Doctoral Consortium at #MICCAI2025 — an initiative by the MICCAI Student Board 🎓 Final-year PhD students and recent grads can present posters, join Thesis Madness, and be featured in the Emerging Scholars Collection.

what happens when AI commoditizes diagnosis?

'One Patient, Many Contexts: Scaling Medical AI Through Contextual Intelligence' Michelle M. Li (李敏蕊), Ben Y. Reis, Adam Rodman, Tianxi Cai, Noa Dagan, Ran Balicer, Joseph Loscalzo, Isaac Kohane, Marinka Zitnik doi.org/10.48550/arXiv… (9/21)

7,000 rare diseases, 70% undiagnosed! This addresses the “diagnostic odyssey” problem: families spending years across multiple specialists without answers. Few-shot learning here is key because you’re working with diseases that may have only dozens of documented cases globally.

🚨 Ever wondered how much you can ace popular MCQ benchmarks without even looking at the questions? 🤯 Turns out, you can often get significant accuracy just from the choices alone. This is true even on recent benchmarks with 10 choices (like MMLU-Pro) and their vision

🚀 Join the #MICCAI Society Startup Village Pitch Competition on Zoom – Your Vote Counts! Nine leading startups have been selected to pitch their ideas. 🗓️ July 9, 2025 🕗 8:00 AM (EDT) 🔗 Register: us02web.zoom.us/webinar/regist… RISE MICCAI MICCAI Students Women in MICCAI #MICCAI2025

The robot may be able to take your gallbladder out soon ;-)

Attending ICML Conference and interested in confounder-free learning? Check out our work "Confounder-Free Continual Learning via Recursive Feature Normalization", where we introduce the flexible R-MDN layer for on-the-fly confounder removal from continuous data streams! 🕟 Thu 17 Jul

🎉 Excited to announce that we received 28 paper submissions for the second edition of EMERGE — our highest number yet! 🚀 Thank you to all who submitted! We look forward to sharing a thoughtful and engaging program at #MICCAI2025 💡

Recipient of an ICML 2025 Outstanding Paper Award, CollabLLM improves how LLMs collaborate with users, including knowing when to ask questions and how to adapt tone and communication style to different situations. This approach helps move AI toward more user-centric and

🚨 Reminder: Submissions for our Doctoral Consortium are still open! 📝 Accepted reports will be published in the #MICCAI2025 Springer LNCS proceedings. 📅 Deadline: 30 July 2025 🔗 Register now here: miccaimsb.github.io/doctoral-conso… MICCAI

Evaluating how and when a model succeeds (or fails) is central to clinical translation. Real-world deployment adds another layer of complexity that’s just as important. Nicely put by Karan in this breakdown!

Organs don’t function in isolation - there’s constant physiological crosstalk, and disease in one system can echo through others. It’s exciting to see this principle being harnessed through AI-enabled echocardiography, a widely available modality, to detect kidney and liver