The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries
Open accessAbstract
Background: Artificial intelligence (AI) is a rapidly developing computer technology that has begun to be widely used in the medical field to improve the professional level and efficiency of clinical work, in addition to avoiding medical errors. In developing countries, the inequality between urban and rural health services is a serious problem, of which the shortage of qualified healthcare providers is the major cause of the unavailability and low quality of healthcare in rural areas. Some studies have shown that the application of computer-assisted or AI medical techniques could improve healthcare outcomes in rural areas of developing countries. Therefore, the development of suitable medical AI technology for rural areas is worth discussing and probing. Methods: This article reviews and discusses the literature concerning the prospects of medical AI technology, the inequity of healthcare, and the application of computer-assisted or AI medical techniques in rural areas of developing countries. Results: Medical AI technology not only could improve physicians' efficiency and quality of medical services, but other health workers could also be trained to use this technique to compensate for the lack of physicians, thereby improving the availability of healthcare access and medical service quality. This article proposes a multilevel medical AI service network, including a frontline medical AI system (basic level), regional medical AI support centers (middle levels), and a national medical AI development center (top level). Conclusion: The promotion of medical AI technology in rural areas of developing countries might be one means of alleviating the inequality between urban and rural health services. The establishment of a multilevel medical AI service network system may be a solution.
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AI is expected to augment healthcare workflow through automated triage, improve the productivity of individual physicians, reduce human errors, discover better patterns of patient care, defray medical costs, perform minimally invasive surgery, and reduce mortality rates.
“AI is expected to augment healthcare workflow through automated triage, improve the productivity of individual physicians, reduce human errors, discover better patterns of patient care, defray medical costs, perform minimally invasive surgery, and reduce mortality rates.8–14”
From Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes (2021) · cites this paper as [10]
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- Authors
- Guo, J., & Li, B.
- Affiliations
- Department of Social Medicine, Washington Institute for Health Sciences, Arlington, Virginia.
- Georgetown University Medical Center (US)
- Corresponding author
- Li, Bin
- ORCID
- Venue
- Health Equity
- Publisher
- SAGE Publications
- Published
- 2018-08
- Volume
- 2
- Issue
- 1
- Pages
- 174-181
- ISSN
- 2473-1242 (ISSN-L)
- PMC
- PMC6110188
- OpenAlex
- W2887066107
- Cited by
- 401
- References
- 41
- Citations by year
- 2026: 40 · 2025: 72 · 2024: 83 · 2023: 61 · 2022: 44 · 2021: 63 · 2020: 19 · 2019: 15 · 2018: 1 · 2017: 1
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Health Equity (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Emergency Medical Services › Global Health Workforce Issues
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- artificial intelligence in healthcare, rural health care, developing countries, physician shortage, health care access, health professions education
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