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Anwendungsfelder reichen von interdisziplin\u00e4rer Therapiestratifizierung \u00fcber die Unterst\u00fctzung der Operationsplanung bis zur Entscheidungsunterst\u00fctzung im Operationssaal, die im Fokus dieses Beitrags steht. K\u00fcnstliche neuronale Netzwerke zur Analyse chirurgischer Videos k\u00f6nnen chirurgische Sicherheit, Effizienz und Planbarkeit verbessern. Voraussetzung daf\u00fcr sind hochwertige, vielf\u00e4ltige (Meta\u2011)Daten, deren Annotation, Training und Validierung komplexe Anforderungen stellen. Trotz technischer Fortschritte scheitert die klinische Umsetzung bis dato oft an fehlender Datenstandardisierung, unzureichender Infrastruktur, regulatorischen H\u00fcrden und ethischen Unsicherheiten. Viele Modelle bleiben Black Boxes, was Akzeptanz und Vertrauen hemmt. Systeme m\u00fcssen zudem robust, transparent und praktikabel in klinische Abl\u00e4ufe integrierbar sein. Um die klinische Translation von KI in der Chirurgie zu f\u00f6rdern, sind konsequente Datenerhebungsstrategien, datenschutzkonforme Lernverfahren,\n                    <jats:italic>Explainable AI<\/jats:italic>\n                    und\n                    <jats:italic>Human-in-the-loop<\/jats:italic>\n                    -Ans\u00e4tze entscheidend. Auch regulatorische Rahmenbedingungen wie die EU Medical Device Regulation bzw. das Medizinprodukterecht-Durchf\u00fchrungsgesetz und der EU AI Act m\u00fcssen KI-spezifisch f\u00fcr den medizinischen und insbesondere den interventionellen Bereich weiterentwickelt werden, um sichere, interdisziplin\u00e4re Assistenztechnologien im Operationssaal zu erm\u00f6glichen, die den chirurgischen Alltag sinnvoll erg\u00e4nzen.\n                  <\/jats:p>","DOI":"10.1007\/s00104-025-02366-0","type":"journal-article","created":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T14:29:10Z","timestamp":1756218550000},"page":"901-906","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Translationale Herausforderungen und klinisches Potenzial von k\u00fcnstlicher Intelligenz in der minimal-invasiven Chirurgie","Translational challenges and clinical potential of artificial intelligence in minimally invasive surgery"],"prefix":"10.1007","volume":"96","author":[{"given":"Matthias","family":"Carstens","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micha","family":"Pfeiffer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefanie","family":"Speidel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marius","family":"Distler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00fcrgen","family":"Weitz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fiona R.","family":"Kolbinger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,26]]},"reference":[{"key":"2366_CR1","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3892\/br.2024.1889","volume":"22","author":"A-M Alhejaily","year":"2024","unstructured":"Alhejaily\u00a0A\u2011M (2024) Artificial intelligence in healthcare (Review). 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