401 citations
- Columbia UniversityUS34 papers
- Harvard UniversityUS7 papers
- New York UniversityUS7 papers
- Cornell UniversityUS4 papers
- Icahn School of Medicine at Mount SinaiUS4 papers
- NewYork–Presbyterian HospitalUS4 papers
- Stanford UniversityUS4 papers
- Brigham and Women's HospitalUS3 papers
- Broad InstituteUS3 papers
- Howard Hughes Medical InstituteUS3 papers
- Massachusetts Institute of TechnologyUS3 papers
- New York State Psychiatric Institute3 papers
57 papers
AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment
Robin Linzmayer, Georgianna Lin, Di Coneybeare +22
We introduce AcuityBench, a benchmark for evaluating whether language models identify the appropriate urgency of care from user medical presentations. Existing health benchmarks em…
A Method for Characterizing Disease Progression from Acute Kidney Injury to Chronic Kidney Disease
Yilu Fang, Jordan G. Nestor, Casey N. Ta +2
Patients with acute kidney injury (AKI) are at high risk of developing chronic kidney disease (CKD), but identifying those at greatest risk remains challenging. We used electronic…
Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies
Fatemeh Taherinezhad, Mohamad Javad Momeni Nezhad, Sepehr Karimi +6
Over half of US adults with Alzheimer disease and related dementias remain undiagnosed, and speech-based screening offers a scalable detection approach. We compared large language…
AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification
Roshan Kenia, Anfei Li, Rishabh Srivastava +1
Glaucoma is a progressive eye disease that leads to optic nerve damage, causing irreversible vision loss if left untreated. Optical coherence tomography (OCT) has become a crucial…
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin +13
Alzheimer's disease and related dementias(ADRD) affect nearly five million older adults in the United States, yet more than half remain undiagnosed. Speech-based natural language p…
Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization
Ebrahim Rasromani, Stella K. Kang, Yanqi Xu +14
Background: Manual extraction of pancreatic cystic lesion (PCL) features from radiology reports is labor-intensive, limiting large-scale studies needed to advance PCL research. Pur…