activity
20242026
most citedMammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20261 cited

Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting

Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed +14

Breast cancer is one of the leading causes of death among women worldwide. We introduce Mammo-FM, the first foundation model specifically for mammography, pretrained on the largest…

cs.CY2026

A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework

Chenyu Li, Zohaib Akhtar, Mingu Kwak +13

As large language models (LLMs) increasingly generate and process clinical text, scalable evaluation has become critical. LLM-as-a-Judge (LaaJ), which uses LLMs to evaluate model o…

cs.AI2025

Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care

Xizhi Wu, Nelly Estefanie Garduno-Rapp, Justin F Rousseau +6

Unlike most primary headaches, secondary headaches need specialized care and can have devastating consequences if not treated promptly. Clinical guidelines highlight several 'red f…

cs.AI2025

Generative Foundation Model for Structured and Unstructured Electronic Health Records

Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji +6

Electronic health records (EHRs) are rich clinical data sources but complex repositories of patient data, spanning structured elements (demographics, vitals, lab results, codes), u…

cs.CL2025

LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers

Shantanu Ghosh, Rayan Syed, Chenyu Wang +5

Error slice discovery is crucial to diagnose and mitigate model errors. Current clustering or discrete attribute-based slice discovery methods face key limitations: 1) clustering r…

cs.CL2024

Mitigating the Risk of Health Inequity Exacerbated by Large Language Models

Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar +6

Recent advancements in large language models have demonstrated their potential in numerous medical applications, particularly in automating clinical trial matching for translationa…