ARTIFICIAL INTELLIGENCE IN CLINICAL PRACTICE: BIBLIOGRAPHIC REVIEW OF GLOBAL EXPERIENCES AND PERSPECTIVES FOR ANGOLA (MALANJE)

Authors

  • Adriano Dala Cassanje Author
  • Tazi Nimi Maria Author
  • Luís Manuel Dala Cassanje Author
  • Elvira Inmaculada António Jacinto Cassanje Author
  • Mário Fernando Kalunga Author
  • Domingos Pedro Cassanje Manuel Author

DOI:

https://doi.org/10.56238/arev7n9-238

Keywords:

Artificial Intelligence in Healthcare, Clinical Applications of AI, Challenges and Opportunities of AI in Healthcare

Abstract

 

Artificial intelligence (AI) has emerged as a disruptive technology in healthcare, with applications ranging from imaging diagnostics to clinical data management. This articlepresents a systematic literature review on the use of AI in clinical practice, focusing on global experiences and perspectives for Angola, particularly the Malanje region. The methodology included the analysis of scientific articles published between 2023 and 2025, obtained from platforms such as ScienceDirect, PubMed, SciELO, and Google Scholar, as well as technical reports from international organizations. The overall objective was to synthesize the available evidence on AI applications in healthcare, identifying lessons learned in countries such as the United States, Brazil, and South Africa, and proposing recommendations for its implementation in low-income settings. The results highlight that AI can improve diagnostic accuracy, optimize resource management, and expand access to healthcare services, especially in regions with shortages of professionals and infrastruct.  However, its implementation requires investments in technological infrastructure, professional training, and ethical considerations, such as the protection of patient data. The conclusion is that AI can revolutionize clinical practice in Angola, provided it is implemented strategically, with investments in infrastructure, professional training, and ethical considerations. This study contributes to the advancement of scientific knowledge and the formulation of evidence-based public policies, aiming to promote equity and efficiency in the Angolan healthcare system.

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References

American Medical Association. (2023). Artificial intelligence in health care. https://www.ama-assn.org/system/files/ai-in-health-care-report.pdf

Oliveira, R. M. (2025). AI applications in radiology. Journal of Medical Innovation, 12, 45–50. https://scholar.google.com/scholar?hl=pt-BR&as_sdt=0%2C5&q=Artificial+Intelligence+Radiology+Applications&btnG=

Silva, A. B., & Souza, C. D. (2024). Artificial intelligence in the SUS: Challenges and opportunities. Public Health Journal, 45, 123–130. https://scholar.google.com/scholar?hl=pt-BR&as_sdt=0%2C5&q=Inteligencia+Artificial+SUS+desafios+oportunidades&btnG=

South African Health Review. (2024). AI in African healthcare. https://www.hst.org.za/publications/south-african-health-review/

World Health Organization. (2023). AI in health: Global perspectives. https://www.who.int/health-topics/artificial-intelligence

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Published

2025-09-22

Issue

Section

Articles

How to Cite

CASSANJE, Adriano Dala; MARIA, Tazi Nimi; CASSANJE, Luís Manuel Dala; CASSANJE, Elvira Inmaculada António Jacinto; KALUNGA, Mário Fernando; MANUEL, Domingos Pedro Cassanje. ARTIFICIAL INTELLIGENCE IN CLINICAL PRACTICE: BIBLIOGRAPHIC REVIEW OF GLOBAL EXPERIENCES AND PERSPECTIVES FOR ANGOLA (MALANJE). ARACÊ , [S. l.], v. 7, n. 9, p. e8300 , 2025. DOI: 10.56238/arev7n9-238. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/8300. Acesso em: 5 dec. 2025.