Chunhua Weng

Evaluating large language models on medical evidence summarization

2023 · 338 Zit. · npj Digital Medicine

From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare

2025 · 105 Zit. · Journal of Biomedical Informatics

Large language models in biomedicine and health: current research landscape and future directions

2024 · 67 Zit. · Journal of the American Medical Informatics Association

Ethical considerations for artificial intelligence in dermatology: a scoping review

2024 · 61 Zit. · British Journal of Dermatology

AI-generated text may have a role in evidence-based medicine

2023 · 61 Zit. · Nature Medicine

UMLS-based data augmentation for natural language processing of clinical research literature

2020 · 57 Zit. · Journal of the American Medical Informatics Association

A systematic review on natural language processing systems for eligibility prescreening in clinical research

2021 · 44 Zit. · Journal of the American Medical Informatics Association

Optimizing Clinical Research Participant Selection with Informatics

2015 · 40 Zit. · Trends in Pharmacological Sciences

Evaluating Large Language Models on Medical Evidence Summarization

2023 · 39 Zit. · medRxiv

A Survey of Clinicians' Views of the Utility of Large Language Models

2024 · 36 Zit. · Applied Clinical Informatics

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

2024 · 33 Zit. · Journal of Biomedical Informatics

Rare disease diagnosis using knowledge guided retrieval augmentation for ChatGPT

2024 · 32 Zit. · Journal of Biomedical Informatics

Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation

2024 · 31 Zit. · Journal of Biomedical Informatics

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

2023 · 22 Zit. · Scientific Reports

Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

2024 · 13 Zit. · Journal of Medical Internet Research