The effectiveness of large language models in medical AI research for physicians: A randomized controlled trial
Yuanjun Shang(Sun Yat-sen University), Haotian Lin(Sun Yat-sen University), Zizheng Cao(Peng Cheng Laboratory), Wenben Chen(Sun Yat-sen University), Yuanfan Lin(Sun Yat-sen University), Andi Xu(Sun Yat-sen University), Sijia Yu(Shenyang Pharmaceutical University), Jianyu Pang(Sun Yat-sen University), Lanqin Zhao(Sun Yat-sen University), Shaowei Bi(Sun Yat-sen University), Yuanrui Shang(Second Affiliated Hospital of Xi'an Jiaotong University), Yuchun He(Fujian Medical University), Dong Liu(Sun Yat-sen University), Mingyuan Li(Sun Yat-sen University), Ruiyang Li(Southeast University), Xinwei Chen(Nanjing University of Chinese Medicine), Mingjie Luo(Nanxi Mountain Hospital), Qianni Wu(Sun Yat-sen University), Jiaman Zhao(Sun Yat-sen University), Yunxi Lai(Sun Yat-sen University), Ling Jin(Sun Yat-sen University), Miaohong Xu(Sun Yat-sen University)
Cited by 3
Related Papers
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
|The Lancet Digital Health|2021|150
MIR21 Drives Resistance to Heat Shock Protein 90 Inhibition in Cholangiocarcinoma
|Gastroenterology|2017|115
Implementation of artificial intelligence in medicine: Status analysis and development suggestions
|Artificial Intelligence in Medicine|2019|102
Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images
|Communications Biology|2020|101