Zastosowanie sztucznej inteligencji w medycynie: przegląd stanu wiedzy i perspektywy rozwoju
DOI:
https://doi.org/10.56652/ejmss2024.1-2.2Słowa kluczowe:
sztuczna inteligencja, modele fundacyjne, walidacja kliniczna, medycyna spersonalizowanaAbstrakt
Niniejszy przegląd narracyjny syntetyzuje recenzowane dowody dotyczące sztucznej inteligencji w medycynie. Przedstawiamy postępy techniczne – zwłaszcza duże modele multimodalne – oraz zweryfikowane zastosowania w detekcji stanów nagłych, monitorowaniu ambulatoryjnym i przyłóżkowym, augmentacji chirurgii i obrazowania oraz w odkrywaniu leków. W ujęciu cyklu życia akcentujemy ład danych, walidację zewnętrzną, integrację z workflow i monitoring po wdrożeniu. Analiza wskazuje na wcześniejsze rozpoznanie, wzrost efektywności i wsparcie personalizacji, przy zróżnicowanej jakości badań i utrzymujących się wyzwaniach równości, uprzedzeń i prywatności.
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