Shanghai First People's Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Harnessing the potential of large language models in medical education: promise and pitfalls
Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau et al.
2024 · 80 Zit.
Step into the era of large multimodal models: a pilot study on ChatGPT-4V(ision)’s ability to interpret radiological images
Lingxuan Zhu, Weiming Mou, Yancheng Lai et al.
2024 · 37 Zit.
EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model
Xiaolan Chen, Ziwei Zhao, Weiyi Zhang et al.
2024 · 28 Zit.
Language and cultural bias in AI: comparing the performance of large language models developed in different countries on Traditional Chinese Medicine highlights the need for localized models
Lingxuan Zhu, Weiming Mou, Yancheng Lai et al.
2024 · 27 Zit.
The Evaluation of Generative AI Should Include Repetition to Assess Stability
Lingxuan Zhu, Weiming Mou, Chenglin Hong et al.
2024 · 25 Zit.
STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability
Jinghong Chen, Lingxuan Zhu, Weiming Mou et al.
2024 · 25 Zit.
The transition of surgical simulation training and its learning curve: a bibliometric analysis from 2000 to 2023
Jun Zhang, Zai Luo, Renchao Zhang et al.
2024 · 23 Zit.
ChatGPT’s ability to generate realistic experimental images poses a new challenge to academic integrity
Lingxuan Zhu, Yancheng Lai, Weiming Mou et al.
2024 · 22 Zit.
Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms
Xintian Yang, Tongxin Li, Handong Wang et al.
2025 · 21 Zit.
Can DALL-E 3 Reliably Generate 12-Lead ECGs and Teaching Illustrations?
Lingxuan Zhu, Weiming Mou, Keren Wu et al.
2024 · 20 Zit.
Advancing generative artificial intelligence in medicine: recommendations for standardized evaluation
Anqi Lin, Lingxuan Zhu, Weiming Mou et al.
2024 · 18 Zit.
ChatGPT’s role in alleviating anxiety in total knee arthroplasty consent process: a randomized controlled trial pilot study
Wenyi Gan, Jianfeng Ouyang, Guorong She et al.
2025 · 16 Zit.
Accuracy and reliability analysis of a machine learning based segmentation tool for intertrochanteric femoral fracture CT
Dongdong Wang, Zhenhua Wu, Guoxin Fan et al.
2022 · 14 Zit.
Potential of Large Language Models as Tools Against Medical Disinformation
Lingxuan Zhu, Weiming Mou, Peng Luo
2024 · 10 Zit.
Expert consensus on Prospective Precision Diagnosis and Treatment Strategies for Osteoporotic Fractures
Yan Hu, Xiaoqun Li, Xiao Chen et al.
2024 · 8 Zit.