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[The application of artificial intellect in health care: prospects and challenges for science and clinical medicine].
Amlaev, K R; Khripunova, A A; Maksimenko, E V; Maksimenko, L L; Stepanyan, T O.
Afiliación
  • Amlaev KR; The Federal State Budget Educational Institution of Higher Education "The Stavropol State Medical University" of Minzdrav of Russia, 355017, Stavropol, Russia, kum672002@mail.ru.
  • Khripunova AA; The Federal State Budget Educational Institution of Higher Education "The Stavropol State Medical University" of Minzdrav of Russia, 355017, Stavropol, Russia.
  • Maksimenko EV; The Federal State Budget Educational Institution of Higher Education "The Stavropol State Medical University" of Minzdrav of Russia, 355017, Stavropol, Russia.
  • Maksimenko LL; The Federal State Budget Educational Institution of Higher Education "The Stavropol State Medical University" of Minzdrav of Russia, 355017, Stavropol, Russia.
  • Stepanyan TO; The Federal State Budget Educational Institution of Higher Education "The Stavropol State Medical University" of Minzdrav of Russia, 355017, Stavropol, Russia.
Article en Ru | MEDLINE | ID: mdl-39003536
ABSTRACT
The paper analyses publications data related to issues of application of AI and machine learning systems in medical science and practice. The particular attention is paid to key points of AI application in health care diagnostics, telemedicine, development of new medications, medical rehabilitation and management decision-making process. Despite broad perspectives of applying the given systems in clinical practice and pharmaceutical industry, there are a number of such unsolved problems as ensuring information security, risk of making erroneous decisions and necessity to change existing normative legal base of health care.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Atención a la Salud Idioma: Ru Revista: Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med Asunto de la revista: SAUDE PUBLICA Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Atención a la Salud Idioma: Ru Revista: Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med Asunto de la revista: SAUDE PUBLICA Año: 2024 Tipo del documento: Article