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Medical Decision-Making and Artificial Intelligence.
Djulbegovic, Benjamin; Hozo, Iztok.
Afiliação
  • Djulbegovic B; Hematology Stewardship Program, Division of Hematology/Oncology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. djulbegov@musc.edu.
  • Hozo I; Department of Mathematics, Indiana University Northwest, Gary, IN, USA.
Cancer Treat Res ; 189: 101-108, 2023.
Article em En | MEDLINE | ID: mdl-37789165
In this chapter, we discuss the potential role that artificial intelligence (AI) may have in medical decision-making, the pros and cons, and the limitations and biases that might be introduced when using these novel techniques. As computing becomes more powerful and models continue to grow increasingly more complex, the potential of AI to improve decision-making is increasingly promising. Within many medical fields, however, at the time of this writing (September 2023), the promise of AI is yet to translate into everyday reality. Here, we summarize the role of AI in medical decision-making (diagnosis, prognosis, and treatment).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Tomada de Decisão Clínica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cancer Treat Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Tomada de Decisão Clínica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cancer Treat Res Ano de publicação: 2023 Tipo de documento: Article