Künstliche Intelligenz in der onkologischen Chirurgie

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Artificial intelligence (AI) is changing all areas of medicine. The objective of this work was to summarize the current status of AI in surgical oncology and provide an overview of future research topics. To this aim, a literature review was performed and a selection of important research topics, including results of the authors’ own work, was presented. It was found that there is a lot of basic research on AI in surgical oncology, but little clinical translation to date. In the future, the tactile internet will enable democratization of surgical expertise in different facets. In this context, robotic surgery plays an important role for standardization and automation of surgical subtasks, but also as a source of data. Generalist surgical AI could improve how we interact with large bodies of information. Skill assessment has the potential to make surgical training faster and safer. Close collaboration between surgeons and engineers is essential for clinical translation.

Translated title of the contribution
Artificial intelligence in surgical oncology

Details

Original languageGerman
Pages (from-to)372–379
Number of pages8
JournalDie Onkologie : Organ der Deutschen Krebsgesellschaft e.V.
Volume30
Issue number5
Early online date16 Feb 2024
Publication statusPublished - May 2024
Peer-reviewedYes

External IDs

Mendeley b75f293e-de46-3e3a-8d5d-4be0f687f7dd
ORCID /0000-0002-4590-1908/work/163294137

Keywords

ASJC Scopus subject areas

Keywords

  • Clinical decision support systems, Clinical skills, Machine learning, Robotic surgical procedures, Robotics, Clinical decision support systems, Clinical skills, Machine learning, Robotic surgical procedures, Robotics