Challenges for the Implementation of Artificial Intelligence in Healthcare in Developing Countries: Structural, Ethical and Technological Barriers
Artificial intelligence (AI) has been widely used in the health sector for diagnostic, assistance and guidance purposes. However, its expansion has come up against applicability barriers in underdeveloped countries due to structural, financial and technological limitations encountered within a specific context. With this letter, we draw attention to the challenges of implementing AI in developing countries, suggesting strategies for scientific studies to optimise this.
Authors
- Pedro Henrique Macedo Moura (ORCID: https://orcid.org/0000-0002-5689-2090)
- Adriana Gibara Guimarães (ORCID: https://orcid.org/0000-0003-1643-5642)
- Rajiv Gandhi Gopalsamy (ORCID: https://orcid.org/0000-0003-4030-0879)
- Lysandro Pinto Borges (ORCID: https://orcid.org/0000-0002-1721-1547)
- Eloia Emanuelly Dias Silva (ORCID: https://orcid.org/0000-0003-2895-4191)
- Lucas Alves da Mota Santana (ORCID: https://orcid.org/0000-0002-8261-1504)
- Marina dos Santos Barreto (ORCID: https://orcid.org/0000-0003-4724-0688)
- Deise Maria Rego Rodrigues Silva
- Ronaldy Santana Santos
- Lucas Vinícius Souza Santos
- Adriana Kelly Santana Correa
- Allec Yuri Santos Martins
Institutions
- Universidade de São Paulo (BR)
- Universidade Federal de Sergipe (BR)
- Rajagiri Hospital (IN)
Publication Details
- Journal
- The International Journal of Health Planning and Management
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1002/hpm.70067
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00