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 open-access, multimodal repository of brain MRI/CT scans and matched clinical data at NIMHANS - designed to accelerate AI-driven biomarker discovery for brain tumours, stroke, head injury, and neurodegenerative disease.
Leads: Dr. Jitendra Saini (NIMHANS, Bengaluru). CRASH Lab lead: Dr. Suvrankar Datta; Gadha Lekshmi.
Status: Under Review - DBT.
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
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