Surgery

Research output: Contribution to book/Conference proceedings/Anthology/ReportChapter in book/Anthology/ReportContributedpeer-review

Abstract

Thanks to technological advancements, surgery is a rapidly evolving field of medicine. This chapter examines in depth how the Tactile Internet with Human-in-the-Loop (TaHiL) will help provide optimal surgical treatment in an ageing society, addressing the challenge of fewer surgeons managing a growing number of older patients. Scalable intraoperative multi-sensor analysis has the potential to create a surgical skill model to democratise access to surgical skills and expertise on a global scale. On the one hand, intuitive cooperation with collaborative robots enable for pushing boundaries to provide robotic access to surgical skills where human experts are lacking. On the other hand, immersive, tailored learning environments for human surgeons will push the boundaries towards democratisation of access to surgical expertise, enabling faster mastery of rare scenarios and new technologies. By highlighting the advancements and potential applications of TaHiL in surgery, this chapter also provides an overview of surgical requirements and cross-references for advanced technologies.

Details

Original languageEnglish
Title of host publicationHumans, Robots, and Virtual Worlds in the Tactile Internet
PublisherElsevier
Chapter2
Pages17-33
Number of pages17
ISBN (electronic)978-0-443-30044-8
Publication statusPublished - 2026
Peer-reviewedYes

External IDs

Scopus 105033796332
ORCID /0000-0002-0803-8818/work/217233776
ORCID /0000-0003-2862-9196/work/217236569
ORCID /0000-0002-2176-876X/work/217237128
ORCID /0000-0002-3496-441X/work/217237176
ORCID /0000-0001-8409-5390/work/217237849
ORCID /0000-0002-6673-9591/work/217237969
ORCID /0009-0001-1210-4080/work/217239050
ORCID /0000-0002-4590-1908/work/217239063

Keywords

ASJC Scopus subject areas

Keywords

  • Computer vision, human-machine interaction, machine learning, multimodal sensor data, robot autonomy, robot-assisted surgery, surgical data science, surgical skills, surgical training