An ongoing study comparing how the newest reasoning AI models interpret radiology scans against practicing radiologists - and how confident the AI is in its own readings.
Active - Simons Foundation
View research →Research Project
An industry collaboration to integrate AI-generated radiology reports directly into clinical reading workflows.
Leads: Dr. Suvrankar Datta (CRASH Lab, Ashoka). CRASH Lab lead: CRASH Lab team with industry partner Manentia AI (Anuj Chandalia).
Status: Active - Industry Collaboration.
An ongoing study comparing how the newest reasoning AI models interpret radiology scans against practicing radiologists - and how confident the AI is in its own readings.
Active - Simons Foundation
View research →Creating the first standardised classification of the visual reasoning mistakes AI models make on radiology images - so they can be spotted, measured, and fixed.
Active - Simons Foundation
View research →Western-trained radiology AI often underperforms on Asian patients. We are building and validating vision-language models for chest imaging designed specifically for Indian and Singaporean populations.
Active - DST - A*STAR
View research →