Rahul Thapa

The shaky foundations of large language models and foundation models for electronic health records

2023 · 251 Zit. · npj Digital Medicine

OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

2024 · 78 Zit. · Scientific Reports

Standing on FURM Ground: A Framework for Evaluating Fair, Useful, and Reliable AI Models in Health Care Systems

2024 · 38 Zit. · NEJM Catalyst

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

2023 · 21 Zit. · arXiv (Cornell University)

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

2023 · 19 Zit. · arXiv (Cornell University)

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models

2023 · 18 Zit. · arXiv (Cornell University)

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

2023 · 11 Zit. · arXiv (Cornell University)

DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record

2023 · 2 Zit. · arXiv (Cornell University)

Disentangling Reasoning and Knowledge in Medical Large Language Models

2025 · 0 Zit. · ArXiv.org