OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 18.05.2026, 13:29

Yingjie Weng

148 Arbeiten2.365 Zitationen

Stanford University · US

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Large Language Model Influence on Diagnostic Reasoning

2024 · 475 Zit. · JAMA Network Open

Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations

2023 · 163 Zit. · JAMA Internal Medicine

Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?

2019 · 140 Zit. · Clinical Orthopaedics and Related Research

Performance of ChatGPT on free-response, clinical reasoning exams

2023 · 51 Zit. · medRxiv

Influence of a Large Language Model on Diagnostic Reasoning: A Randomized Clinical Vignette Study

2024 · 28 Zit. · medRxiv

Large Language Model Influence on Management Reasoning: A Randomized Controlled Trial

2024 · 10 Zit. · medRxiv

Comparing IM Residency Application Personal Statements Generated by GPT-4 and Authentic Applicants

2024 · 3 Zit. · Journal of General Internal Medicine

Exploring human–artificial intelligence interactions in a negative pragmatic trial of computer-aided polyp detection

2024 · 1 Zit. · iGIE

Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases

2025 · 1 Zit. · medRxiv

First, do NOHARM: towards clinically safe large language models

2025 · 1 Zit. · ArXiv.org

Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates

2025 · 0 Zit.

Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates

2025 · 0 Zit. · ArXiv.org

First, do NOHARM: towards clinically safe large language models.

2025 · 0 Zit. · PubMed

Asking the right questions: Benchmarking large language models in the development of clinical consultation templates

2025 · 0 Zit.

Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases

2025 · 0 Zit.