The impact of Artificial Intelligence on medicine: Applications, challenges and perspectives

Artificial Intelligence (AI) has emerged as a powerful tool in several areas of Medicine, including radiology, pathology, genomics and personalized medicine, providing significant advances in the efficiency and precision of medical care. This study aims to carry out a narrative review of the literature, exploring the potential of AI in clinical practice, both in its current applications and future perspectives. AI is capable of analyzing medical images, interpreting laboratory tests, processing genetic data and predicting disease risks, facilitating a more personalized and preventive approach to Medicine. However, the implementation of AI in the medical field faces important challenges, such as ethical, regulatory and data security issues, which require close collaboration between healthcare professionals, data scientists and regulators to ensure its ethical and effective use. Therefore, the need for continuous research that evaluates and promotes the responsible application of these emerging technologies in the health field is highlighted.

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Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-12-29
DOI
https://doi.org/10.30574/ijsra.2024.13.2.2556
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

The impact of Artificial Intelligence on medicine: Applications, challenges and perspectives

Lívia Mirelle Barbosa, S. Alves, Demócrito de Barros Miranda-Filho, Allan Pinto et al.
International Journal of Science and Research Archive
Artificial Intelligence in Healthcare and Education
article

The impact of Artificial Intelligence on medicine: Applications, challenges and perspectives

Lívia Mirelle Barbosa, S. Alves, Demócrito de Barros Miranda-Filho, Allan Pinto, Joel J. P. C. Rodrigues, Carolina Fátima Gioia Nava, Pedro Soares Bezerra
article en

Abstract

Artificial Intelligence (AI) has emerged as a powerful tool in several areas of Medicine, including radiology, pathology, genomics and personalized medicine, providing significant advances in the efficiency and precision of medical care. This study aims to carry out a narrative review of the literature, exploring the potential of AI in clinical practice, both in its current applications and future perspectives. AI is capable of analyzing medical images, interpreting laboratory tests, processing genetic data and predicting disease risks, facilitating a more personalized and preventive approach to Medicine. However, the implementation of AI in the medical field faces important challenges, such as ethical, regulatory and data security issues, which require close collaboration between healthcare professionals, data scientists and regulators to ensure its ethical and effective use. Therefore, the need for continuous research that evaluates and promotes the responsible application of these emerging technologies in the health field is highlighted.

International Journal of Science and Research ArchiveVol. 13(2)
Universidade Federal de Goiás (BR)
Partnerships for the goals
Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare and Education
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