activity
20232026
most citedMultimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology

78 citations · 81 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2025

Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting

Harshita Sharma, Maxwell C. Reynolds, Valentina Salvatelli +26

AI-assisted report generation offers the opportunity to reduce radiologists' workload stemming from expanded screening guidelines, complex cases and workforce shortages, while main…

cs.CL2025

NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery

Anurag J. Vaidya, Felix Meissen, Daniel C. Castro +7

Digitized histopathology analysis involves complex, time-intensive workflows and specialized expertise, limiting its accessibility. We introduce NOVA, an agentic framework that tra…

cs.CL2024

MAIRA-2: Grounded Radiology Report Generation

Shruthi Bannur, Kenza Bouzid, Daniel C. Castro +18

Radiology reporting is a complex task requiring detailed medical image understanding and precise language generation, for which generative multimodal models offer a promising solut…

cs.CL2023

MAIRA-1: A specialised large multimodal model for radiology report generation

Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid +12

We present a radiology-specific multimodal model for the task for generating radiological reports from chest X-rays (CXRs). Our work builds on the idea that large language model(s)…

cs.CL20232 cited

Exploring the Boundaries of GPT-4 in Radiology

Qianchu Liu, Stephanie Hyland, Shruthi Bannur +16

The recent success of general-domain large language models (LLMs) has significantly changed the natural language processing paradigm towards a unified foundation model across domai…