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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Education 4.0 In healthcare: How can artificial intelligence help clinical reasoning?

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  • Education 4.0 In healthcare: How can artificial intelligence help clinical reasoning?

Carolina Fátima Gioia Nava 1, *, João Guilherme de Souza Ramos 1, Denis Aguiar de Souza Filho 1, Lettícya dos Santos Lopes 2, Mariana Cardoso Silva 3 and Advisor Paulo Reis Rizzo Esselin de Melo 1

1 School of Medicine, Alfredo Nasser University Center (UNIFAN), Aparecida de Goiânia, Goiás, Brazil.
2 School of Medicine, University of Rio Verde (UniRV), Rio Verde, Goiás, Brazil.
3 School of Medicine, Evangelical University of Goiás (Unievangélica), Anápolis, Goiás, Brazil.

Review Article
 

International Journal of Science and Research Archive, 2024, 13(02), 3527-3535.
Article DOI: 10.30574/ijsra.2024.13.2.2558
DOI url: https://doi.org/10.30574/ijsra.2024.13.2.2558

Received on 13 November 2024; revised on 22 December 2024; accepted on 24 December 2024

Introduction: Artificial Intelligence (AI) can develop software and systems capable of performing functions that normally require human skills. Its integration with the health field brings numerous optimizations to medical practice. However, it is crucial to ensure that AI does not replace the clinical judgment of the professional because, despite promising advances, challenges and ethical issues arise that need to be widely discussed.
Objective: To investigate the use of AI to improve clinical reasoning, highlighting advantages, challenges and ethical implications.
Methodology: This integrative literature review searched the following databases: PubMed, LILACS, SciELO, Cochrane Library and Google Scholar, using the descriptors “Artificial Intelligence” AND “Clinical Reasoning”. Publications from 2019 to 2024 in Portuguese and English were included, and 19 articles were selected for the study.
Results and discussion: Clinicians have a positive perception of AI in medical practice even though significant challenges remain, such as the integration of clinical reasoning, data protection, unequal access and ethical issues. Despite this, AI has transformative potential, highlighting the urgent need to develop specific discussions, protocols and legislation to ensure its safe and effective use in healthcare.
Conclusion: AI should be used as a complementary tool in medical practice, broadening the clinical and objective view, but without replacing the subjectivity of the doctor-patient relationship. Its innovative capacity is crucial for the advancement of health, as long as it respects and preserves the human function in the clinical process.

Clinical diagnosis; Medical training; Machine learning; Digital health technology

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-2558.pdf

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Carolina Fátima Gioia Nava, João Guilherme de Souza Ramos, Denis Aguiar de Souza Filho, Lettícya dos Santos Lopes, Mariana Cardoso Silva and Advisor Paulo Reis Rizzo Esselin de Melo. Education 4.0 In healthcare: How can artificial intelligence help clinical reasoning?. International Journal of Science and Research Archive, 2024, 13(02), 3527-3535. https://doi.org/10.30574/ijsra.2024.13.2.2558

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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