ChatGPT: promise and challenges for deployment in low- and middle-income countries

被引:34
|
作者
Wang, Xiaofei [1 ]
Sanders, Hayley M. [2 ]
Liu, Yuchen [1 ]
Seang, Kennarey [3 ]
Tran, Bach Xuan [4 ,5 ]
Atanasov, Atanas G. [6 ,7 ]
Qiu, Yue [8 ]
Tang, Shenglan [9 ]
Car, Josip [10 ,11 ]
Wang, Ya Xing [12 ]
Wong, Tien Yin [13 ,14 ,15 ]
Tham, Yih-Chung [13 ,16 ,17 ,18 ]
Chung, Kevin C. [2 ,19 ]
机构
[1] Beihang Univ, Beijing Adv Innovat Ctr Biomed Engn, Sch Biol Sci & Med Engn, Key Lab Biomech & Mechanobiol,Minist Educ, Beijing, Peoples R China
[2] Univ Michigan, Med Sch, Dept Surg, Sect Plast Surg, Ann Arbor, MI USA
[3] Univ Hlth Sci, Grant Management Off, Phnom Penh, Cambodia
[4] Hanoi Med Univ, Inst Prevent Med & Publ Hlth, Dept Hlth Econ, Hanoi, Vietnam
[5] Inst Hlth Econ & Technol, Hanoi, Vietnam
[6] Med Univ Vienna, Ludwig Boltzmann Inst Digital Hlth & Patient Safe, Spitalgasse 23, A-1090 Vienna, Austria
[7] Polish Acad Sci, Inst Genet & Anim Biotechnol, PL-05552 Jastrzebiec, Magdalenka, Poland
[8] Tsinghua Univ, Inst Hosp Management, Beijing, Peoples R China
[9] Duke Univ, Duke Global Hlth Inst, Durham, NC USA
[10] Nanyang Technol Univ, Ctr Populat Hlth Sci, Lee Kong Chian Sch Med, Singapore, Singapore
[11] Imperial Coll London, Sch Publ Hlth, Dept Primary Care & Publ Hlth, London, England
[12] Capital Med Univ, Beijing Tongren Hosp, Beijing Tongren Eye Ctr, Beijing Ophthalmol & Visual Sci Key Lab,Beijing In, Beijing, Peoples R China
[13] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore
[14] Tsinghua Univ, Tsinghua Med, Beijing, Peoples R China
[15] Beijing Tsinghua Changgung Hosp, Sch Clin Med, Beijing, Peoples R China
[16] Natl Univ Singapore, Ctr Innovat & Precis Eye Hlth, Yong Loo Lin Sch Med, Dept Ophthalmol, Singapore, Singapore
[17] Duke NUS Med Sch, Ophthalmol & Visual Sci Acad Clin Program, Singapore, Singapore
[18] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Ophthalmol, Singapore, Singapore
[19] Univ Michigan Hlth Syst, Sect Plast Surg, Taubman Ctr 2130,1500 E Med Ctr Dr,SPC 5340, Ann Arbor, MI 48109 USA
来源
关键词
Large language model; ChatGPT; Public health; Global health; Low to middle income countries; Equity; ARTIFICIAL-INTELLIGENCE; RURAL-AREAS; LANGUAGE; ENGLISH; ERA;
D O I
10.1016/j.lanwpc.2023.100905
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
In low- and middle-income countries (LMICs), the fields of medicine and public health grapple with numerous challenges that continue to hinder patients' access to healthcare services. ChatGPT, a publicly accessible chatbot, has emerged as a potential tool in aiding public health efforts in LMICs. This viewpoint details the potential benefits of employing ChatGPT in LMICs to improve medicine and public health encompassing a broad spectrum of domains ranging from health literacy, screening, triaging, remote healthcare support, mental health support, multilingual capabilities, healthcare communication and documentation, medical training and education, and support for healthcare professionals. Additionally, we also share potential concerns and limitations associated with the use of ChatGPT and provide a balanced discussion on the opportunities and challenges of using ChatGPT in LMICs.
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页数:14
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