Research Project
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.
Leads: Dr. Suvrankar Datta (CRASH Lab, KCDHA); Asst. Prof. Swapnil Mishra (NUS Singapore). CRASH Lab lead: Dr. Hakikat Bir Singh Bhatti.
Status: Active - DST - A*STAR (Governments of India and Singapore).
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 →AI-powered analysis of CT scans to predict which post-chemotherapy testicular cancer patients still need surgery (RPLND), helping cancer centres triage cases and allocate surgical resources more effectively.
Active - India AI - CATCH Grant
View research →