activity
20152025
most citedMassively Multitask Networks for Drug Discovery

408 citations · 886 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV20242 cited

PathAlign: A vision-language model for whole slide images in histopathology

Faruk Ahmed, Andrew Sellergren, Lin Yang +14

Microscopic interpretation of histopathology images underlies many important diagnostic and treatment decisions. While advances in vision-language modeling raise new opportunities…

cs.AI202496 cited

Capabilities of Gemini Models in Medicine

Khaled Saab, Tao Tu, Wei-Hung Weng +64

Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of…

cs.CY2024

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset

Abbi Ward, Jimmy Li, Julie Wang +17

Background: Health datasets from clinical sources do not reflect the breadth and diversity of disease in the real world, impacting research, medical education, and artificial intel…

eess.IV2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings

Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong +23

Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs. However, little i…

cs.HC20241 cited

MINT: A wrapper to make multi-modal and multi-image AI models interactive

Jan Freyberg, Abhijit Guha Roy, Terry Spitz +10

During the diagnostic process, doctors incorporate multimodal information including imaging and the medical history - and similarly medical AI development has increasingly become m…