Artificial Intelligence in Surgical Learning

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dc.contributor.authorPakkasjärvi Niklas
dc.contributor.authorLuthra Tanvi
dc.contributor.authorAnand Sachit
dc.contributor.organizationfi=lastentautioppi|en=Paediatrics and Adolescent Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.40612039509
dc.converis.publication-id179842300
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179842300
dc.date.accessioned2025-08-27T22:13:11Z
dc.date.available2025-08-27T22:13:11Z
dc.description.abstract<p><b>(1) Background:</b> 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; <br></p><p><b>(2) Methods:</b> A non-systematic review of AI in surgical learning of the literature in English is provided; <br></p><p><b>(3) Results:</b> AI shows utility for all components of surgical competence within surgical learning. AI presents with great potential within robotic surgery specifically; <br></p><p><b>(4) Conclusions:</b> 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.</p>
dc.format.pagerange86
dc.format.pagerange97
dc.identifier.eissn2673-4095
dc.identifier.jour-issn2673-4095
dc.identifier.olddbid201820
dc.identifier.oldhandle10024/184847
dc.identifier.urihttps://www.utupub.fi/handle/11111/50149
dc.identifier.urlhttps://doi.org/10.3390/surgeries4010010
dc.identifier.urnURN:NBN:fi-fe2025082785521
dc.language.isoen
dc.okm.affiliatedauthorPakkasjärvi, Niklas
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline217 Medical engineeringen_GB
dc.okm.discipline3123 Gynaecology and paediatricsen_GB
dc.okm.discipline3126 Surgery, anesthesiology, intensive care, radiologyen_GB
dc.okm.discipline217 Lääketieteen tekniikkafi_FI
dc.okm.discipline3123 Naisten- ja lastentauditfi_FI
dc.okm.discipline3126 Kirurgia, anestesiologia, tehohoito, radiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA2 Scientific Article
dc.publisherMDPI
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.relation.doi10.3390/surgeries4010010
dc.relation.ispartofjournalSurgeries
dc.relation.issue1
dc.relation.volume4
dc.source.identifierhttps://www.utupub.fi/handle/10024/184847
dc.titleArtificial Intelligence in Surgical Learning
dc.year.issued2023

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