Zhe He

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review

2020 · 306 Zit. · Journal of the American Medical Informatics Association

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

2024 · 46 Zit. · Journal of Medical Internet Research

sureLDA: A multidisease automated phenotyping method for the electronic health record

2020 · 40 Zit. · Journal of the American Medical Informatics Association

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases

2018 · 39 Zit. · BMC Medical Informatics and Decision Making

User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study

2021 · 12 Zit. · JMIR Human Factors

Editorial: Explainable artificial intelligence for critical healthcare applications

2023 · 12 Zit. · Frontiers in Artificial Intelligence

DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction

2020 · 10 Zit.

Synoptic Reporting by Summarizing Cancer Pathology Reports using Large Language Models

2024 · 4 Zit. · medRxiv

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study (Preprint)

2024 · 3 Zit.

Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study.

2024 · 2 Zit. · PubMed

Demystifying Large Language Models for Medicine: A Primer

2024 · 2 Zit. · PubMed

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI

2023 · 1 Zit. · arXiv (Cornell University)

Time Matters: Examine Temporal Effects on Biomedical Language Models

2024 · 0 Zit. · PubMed