Discussing the Intersection between Psychology, Health and Artificial Intelligence
Global technological evolution, despite it being essential that researchers and, more specifically, professionals are at the forefront of discussions, the arrival of Artificial Intelligence (AI) has caused a great social challenge. In health-related issues, AI appears to have the potential...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Institución: | Instituto Persona de Educação Superior |
| Repositorio: | ID on line. Revista de psicologia |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.idonline.emnuvens.com.br:article/4135 |
| Acceso en línea: | https://idonline.emnuvens.com.br/id/article/view/4135 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial intelligence Machine learning Psychology Health. Inteligência artificial Aprendizado de máquina Psicologia Saúde |
| Sumario: | Global technological evolution, despite it being essential that researchers and, more specifically, professionals are at the forefront of discussions, the arrival of Artificial Intelligence (AI) has caused a great social challenge. In health-related issues, AI appears to have the potential to revolutionize the way we understand and address a range of psychological and health issues, from mental health care to understanding the complexities of cognition and other related matters. Machine learning algorithms can analyze large sets of information to make it possible to identify patterns and predict trends across a wide range of psychological and health conditions. This automated analysis capability not only speeds up the diagnostic process but can also provide invaluable insights into the mechanisms underlying a wide range of health disorders and diagnoses. Greater discussion on the implementation of AI in relation to the ethical factors involved is essential, as its high costs could impact on the health of users, which tends to increase inequality in access to quality health services, the poorest portion of the population. |
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