A timeline of surgical lighting - Is automated lighting the future?

Artificial intelligence Automated lighting Headlights Lighted retractors Operating microscopes Surgical lighting Surgical lighting system Thermal imaging Tissue feature tracking

Journal

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
ISSN: 1479-666X
Titre abrégé: Surgeon
Pays: Scotland
ID NLM: 101168329

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 04 04 2023
revised: 23 05 2023
accepted: 25 05 2023
medline: 4 12 2023
pubmed: 17 6 2023
entrez: 16 6 2023
Statut: ppublish

Résumé

High quality surgical lighting is central to successful performance in the operating room and therefore to both patient care and treatment. This article discusses the origins of surgical lighting from the 1800s to today, with a focus on the four main forms. Their uses, advantages, and disadvantages are evaluated in an effort to identify the improvements required to improve today's current state of surgical lighting. Whilst these four mainstream types have served well for the past thirty years, the literature exposes opportunities for improvement and can be used to guide the pathway to transition from manual conventional methods to a more automated lighting (AL) approach. The concept of AL has been proposed using established and known technical approaches such as artificial intelligence (AI), 3D sensor tracking algorithms and thermal imaging. Whilst AL seems incredibly promising, further focused research must be undertaken to maximise its' effectiveness and allow for successful integration of this new technology into operating rooms today.

Identifiants

pubmed: 37328393
pii: S1479-666X(23)00058-6
doi: 10.1016/j.surge.2023.05.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

369-374

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest All authors declare no conflicts of interest.

Auteurs

Nikhil Sharma (N)

Queen Mary University of London, School of Engineering and Materials Science, Mile End Road, London, E14NS, United Kingdom. Electronic address: ha171141@qmul.ac.uk.

Amrita Heer (A)

Queen Mary University of London, School of Engineering and Materials Science, Mile End Road, London, E14NS, United Kingdom.

Lei Su (L)

Queen Mary University of London, School of Engineering and Materials Science, Mile End Road, London, E14NS, United Kingdom.

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Classifications MeSH