4 citations · 5 across the 5 of their papers we have counts for
6 papers
ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems
Rakesh Sharma, Sydney Pugh, Cameron Beeche +14
The rapid adoption of large language models has enabled the development of clinical multi-agent systems (MAS) capable of integrating multimodal patient data and supporting increasi…
Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria
Michael S. Yao, Allison Chae, Charles E. Kahn +4
Diagnostic imaging studies are an increasingly important component of the workup and management of acutely presenting patients. However, ordering appropriate imaging studies accord…
Machine learning-based algorithms for at-home respiratory disease monitoring and respiratory assessment
Negar Orangi-Fard, Alexandru Bogdan, Hersh Sagreiya
Respiratory diseases impose a significant burden on global health, with current diagnostic and management practices primarily reliant on specialist clinical testing. This work aims…
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models
Sheng Wang, Tianming Du, Katherine Fischer +5
Computer-aided diagnosis systems hold great promise to aid radiologists and clinicians in radiological clinical practice and enhance diagnostic accuracy and efficiency. However, th…
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification
Michael S. Yao, Allison Chae, Matthew T. MacLean +8
Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic interventions and lifestyle modifications. As the time available for clinical office visi…
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared Dunnmon, Alexander Ratner, Nishith Khandwala +8
Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applyi…