Your browser doesn't support javascript.
loading
[Artificial intelligence: An introduction for clinicians]. / Intelligence artificielle : une introduction pour les cliniciens.
Briganti, G.
Afiliación
  • Briganti G; Chaire d'intelligence artificielle et médecine digitale, service de neurosciences, faculté de médecine, université de Mons, avenue du Champs de Mars, 6, 7000 Mons, Belgique. Electronic address: giovanni.briganti@hotmail.com.
Rev Mal Respir ; 40(4): 308-313, 2023 Apr.
Article en Fr | MEDLINE | ID: mdl-36894376
ABSTRACT
Artificial intelligence (AI) is a growing field that has the potential to transform many areas of society, including healthcare. For a physician, it is important to understand the basics of AI and its potential applications in medicine. AI refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as pattern recognition, learning from data, and decision-making. This technology can be used to analyze large amounts of patient data and to identify trends and patterns that can be difficult for human physicians to detect. This can help doctors to manage their workload more efficiently and provide better care for their patients. All in all, AI has the potential to dramatically improve the practice of medicine and improve patient outcomes. In this work, the definition and the key principles of AI are outlined, with particular focus on the field of machine learning, which has been undergoing considerable development in medicine, providing clinicians with in-depth understanding of the principles underlying the new technologies ensuring improved health care.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: Fr Revista: Rev Mal Respir Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: Fr Revista: Rev Mal Respir Año: 2023 Tipo del documento: Article