11 citations · 13 across the 4 of their papers we have counts for
5 papers
Evaluating Ambient Clinical Scribes in India: The Need for Multilingual Real-World Clinical Conversation Data
Siddharth D Jaiswal, Krithi S, Ashish Makani +3
Ambient clinical scribes (ACS) are being rapidly deployed at scale across Global South healthcare settings, aiming to reduce clinician documentation time, especially in overburdene…
A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench
Praveen Reddy, Charuta Mandke, Suvrankar Datta +4
General-purpose large language models (LLMs) have recently been reported to match or exceed specialized clinical AI tools on medical benchmarks, but such comparisons draw on a narr…
Radiology's Last Exam (RadLE): Benchmarking Frontier Multimodal AI Against Human Experts and a Taxonomy of Visual Reasoning Errors in Radiology
Suvrankar Datta, Divya Buchireddygari, Lakshmi Vennela Chowdary Kaza +24
Generalist multimodal AI systems such as large language models (LLMs) and vision language models (VLMs) are increasingly accessed by clinicians and patients alike for medical image…
Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model
Shripad Pate, Aiman Farooq, Suvrankar Datta +3
Accurate rib fracture identification and classification are essential for treatment planning. However, existing datasets often lack fine-grained annotations, particularly regarding…
MedVersa: A Generalist Foundation Model for Medical Image Interpretation
Hong-Yu Zhou, Julián Nicolás Acosta, Subathra Adithan +3
Current medical AI systems are often limited to narrow applications, hindering widespread adoption. We present MedVersa, a generalist foundation model trained on tens of millions o…