Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2)
Artificial Intelligence in Surgical Learning
Julkaisun tekijät: Pakkasjärvi Niklas, Luthra Tanvi, Anand Sachit
Kustantaja: MDPI
Julkaisuvuosi: 2023
Journal: Surgeries
Tietokannassa oleva lehden nimi: Surgeries (Switzerland)
Volyymi: 4
Julkaisunumero: 1
Aloitussivu: 86
Lopetussivun numero: 97
eISSN: 2673-4095
DOI: http://dx.doi.org/10.3390/surgeries4010010
Verkko-osoite: https://doi.org/10.3390/surgeries4010010
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/179842300
(1) Background: Artificial Intelligence (AI) is transforming healthcare on all levels. While AI shows immense potential, the clinical implementation is lagging. We present a concise review of AI in surgical learning;
(2) Methods: A non-systematic review of AI in surgical learning of the literature in English is provided;
(3) Results: AI shows utility for all components of surgical competence within surgical learning. AI presents with great potential within robotic surgery specifically;
(4) Conclusions: Technology will evolve in ways currently unimaginable, presenting us with novel applications of AI and derivatives thereof. Surgeons must be open to new modes of learning to be able to implement all evidence-based applications of AI in the future. Systematic analyses of AI in surgical learning are needed.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
