Artificial Intelligence in Surgical Learning

Pakkasjärvi Niklas; Luthra Tanvi; Anand Sachit
Artificial Intelligence in Surgical Learning

Pakkasjärvi Niklas
Luthra Tanvi
Anand Sachit
Katso/Avaa
Lataukset: 

MDPI
doi:10.3390/surgeries4010010
URI
https://doi.org/10.3390/surgeries4010010
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082785521
Tiivistelmä

(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.

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