Research Project

How do we build AI systems that clinicians actually trust?

Seeking Collaborators

human-AI-collaborationradiology

Project Team

Dr. Suvrankar Datta

2025-Present · JIPMER, AIIMS Delhi, Ashoka University

Dr Shreyas Reddy

2025-Present · CRASH LAB

Mr. Siddharth Reddy Anthireddy

2025-Present · KCDHA, IFRE

Clinical adoption is not a model score problem alone. This work studies interface design, workflow integration, and clinician oversight patterns that make AI usable in practice.

Related projects

Published

Can AI read a chest X-ray as well as a radiologist?

A landmark benchmark testing frontier multimodal AI against board-certified radiologists on complex, multi-finding radiology cases.

radiologybenchmarkmultimodal-AIchest-xray

RSNA 2025 — Cutting Edge Oral Presentation

View research →

Published

Can AI autonomously write radiology reports that radiologists trust?

Multidimensional evaluation framework for autonomous optimization pipelines in personalized head CT and chest radiograph report generation.

report-generationNLPradiology

RSNA 2025

View research →

Seeking Collaborators

What does responsible healthcare data infrastructure look like at national scale?

Building federated, privacy-preserving platforms for secure healthcare data sharing — addressing India's clinical data fragmentation.

federated-learningdata-commonsIndia-healthcare

View research →