Our lab has secured $20,000 from Google.org and $15,000 in support from OpenAI to accelerate our work
Read MoreResearch 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.
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
View research →