5 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications
Philipp Zagar, Vishnu Ravi, Lauren Aalami +3
The ability of large language models (LLMs) to transform, interpret, and comprehend vast quantities of heterogeneous data presents a significant opportunity to enhance data-driven…
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
Cyril Zakka, Joseph Cho, Gracia Fahed +9
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality of care and increase clinician burnout. Despite the promise of electronic medica…
IMIL: Interactive Medical Image Learning Framework
Adrit Rao, Andrea Fisher, Ken Chang +4
Data augmentations are widely used in training medical image deep learning models to increase the diversity and size of sparse datasets. However, commonly used augmentation techniq…
LLM on FHIR -- Demystifying Health Records
Paul Schmiedmayer, Adrit Rao, Philipp Zagar +4
Objective: To enhance health literacy and accessibility of health information for a diverse patient population by developing a patient-centered artificial intelligence (AI) solutio…