Artificial Intelligence in Surgical Learning-Reference-Cited by-同舟云学术

Artificial Intelligence in Surgical Learning

Published:2023-02-17 Issue:1 Volume:4 Page:86-97
ISSN:2673-4095
Container-title:Surgeries
language:en
Short-container-title:Surgeries

Author:

Pakkasjärvi Niklas¹^ORCID,Luthra Tanvi²,Anand Sachit²^ORCID

Affiliation:

1. Department of Pediatric Surgery, Turku University Hospital, 20521 Turku, Finland

2. Department of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India

Abstract

(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.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.mdpi.com/2673-4095/4/1/10/pdf

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