In the future will artificial intelligence be able to replace doctors? -narrative review
The article provides a comprehensive narrative review of the role of artificial intelligence (AI) in the future of medicine, focusing on its potential to replace physicians in various clinical applications. AI technologies such as machine and deep learning, especially convolutional neural networks (...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | México |
| Institución: | UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO |
| Repositorio: | Mexican Journal of Medical Research |
| Idioma: | inglés |
| OAI Identifier: | oai:repository.uaeh.edu.mx:article/12397 |
| Acceso en línea: | https://repository.uaeh.edu.mx/revistas/index.php/MJMR/article/view/12397 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial Intelligence Convolutional Neural Networks Medicine Inteligencia Artificial Redes Neuronales Convolucionales Medicina |
| Sumario: | The article provides a comprehensive narrative review of the role of artificial intelligence (AI) in the future of medicine, focusing on its potential to replace physicians in various clinical applications. AI technologies such as machine and deep learning, especially convolutional neural networks (CNNs), are explored in detail, and their applications in AI-assisted diagnosis in areas such as oncology, cardiology, and dentistry are discussed. Both advantages and disadvantages of AI in medicine are highlighted, including its ability to analyze large volumes of medical data and improve diagnostic accuracy, as well as ethical and practical challenges related to patient data protection and transparency in decision-making. Although AI shows great potential to transform medical care, it is concluded that it currently remains a support tool for clinicians and cannot completely replace clinical decision making. It highlights the importance of addressing the remaining challenges and continuing to research and develop new technologies to maximize the potential of AI in medicine. |
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