X. Wang|Hayley M. Sanders|Yuchen Liu|Kennarey Seang|Bach Xuan Tran|Atanas G. Atanasov|Yue Qiu|Shenglan Tang|Josip Car|Ya Xing Wang|Tien?Yin Wong|Yih Chung Tham|Kevin C. Chung
ChatGPT: promise and challenges for deployment in low- and middle-income countries
Beihang University|University of Michigan–Ann Arbor|Beihang University|University of Health Science|Hanoi Medical University|Medical University of Vienna|Polish Academy of Sciences|Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences|Beijing Hua Xin Hospital|Duke Institute for Health Innovation|Duke University|Nanyang Technological University|Imperial College London|Beijing Tongren Hospital|Capital Medical University|Tsinghua University|Singapore National Eye Center|Singapore Eye Research Institute|Beijing Tsinghua Chang Gung Hospital|Duke-NUS Medical School|Singapore National Eye Center|Singapore Eye Research Institute|National University of Singapore|University of Michigan–Ann Arbor
low middleincome countries lmics fields medicine public health grapple numerous challenges continue hinder patients access healthcare services chatgpt publicly accessible chatbot emerged potential tool aiding public health efforts lmics viewpoint details potential benefits employing chatgpt lmics improve medicine public health encompassing broad spectrum domains ranging health literacy screening triaging remote healthcare support mental health support multilingual capabilities healthcare communication documentation medical training education support healthcare professionals additionally also share potential concerns limitations associated use chatgpt provide balanced discussion opportunities challenges using chatgpt lmics