Our lab has secured $20,000 from Google.org and $15,000 in support from OpenAI to accelerate our work
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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.
Leads: Dr. Gagan Prakash (Tata Memorial Hospital, Mumbai); Dr. Suvrankar Datta (Ashoka), Dr. Pratyush Pranav (Bennett), Anuj Chandalia (Industry). CRASH Lab lead: Dr. Suvrankar Datta; Gadha Lakshmi; Sarath Sasi; Himanshu Thakur.
Status: Active - India AI - CATCH Grant.
RadLE - Can Today's Leading AI Models Read Medical Scans Like a Radiologist?
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
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
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