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Artificial Intelligence in Intensive Care Medicine: Toward a ChatGPT/GPT-4 Way?
Lu, Yanqiu; Wu, Haiyang; Qi, Shaoyan; Cheng, Kunming.
Afiliación
  • Lu Y; Department of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Wu H; Department of Graduate School, Tianjin Medical University, Tianjin, China.
  • Qi S; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
  • Cheng K; Department of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. qishaoyan1970@163.com.
Ann Biomed Eng ; 51(9): 1898-1903, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37179277
Although intensive care medicine (ICM) is a relatively young discipline, it has rapidly developed into a full-fledged and highly specialized specialty covering several fields of medicine. The COVID-19 pandemic led to a surge in intensive care unit demand and also bring unprecedented development opportunities for this area. Multiple new technologies such as artificial intelligence (AI) and machine learning (ML) were gradually being applied in this field. In this study, through an online survey, we have summarized the potential uses of ChatGPT/GPT-4 in ICM range from knowledge augmentation, device management, clinical decision-making support, early warning systems, and establishment of intensive care unit (ICU) database.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Ann Biomed Eng Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Ann Biomed Eng Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos