[Digitalization and use of artificial intelligence in microvascular reconstructive facial surgery].

Digitalisierung und Ansätze künstlicher Intelligenz in der mikrovaskulär-rekonstruktiven Gesichtschirurgie.
Automatization CAD/CAM planning Individualized surgery Microvascular reconstruction Navigated surgery

Journal

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
ISSN: 1433-0385
Titre abrégé: Chirurg
Pays: Germany
ID NLM: 16140410R

Informations de publication

Date de publication:
Mar 2020
Historique:
pubmed: 23 1 2020
medline: 18 9 2020
entrez: 23 1 2020
Statut: ppublish

Résumé

When using digitalization and artificial intelligence (AI), large amounts of data (big data) are produced, which can be processed by computers and used in the field of microvascular-reconstructive craniomaxillofacial surgery (CMFS). The aim of this article is to summarize current applications of digitalized medicine and AI in microvascular reconstructive CMFS. Review of frequent applications of digital medicine for microvascular CMFS reconstruction, focusing on digital planning, navigation, robotics and potential applications with AI. The broadest utilization of medical digitalization is in the virtual planning of microvascular transplants, individualized implants and template-guided reconstruction. Navigation is commonly used for ablative tumor surgery but less frequently in reconstructions. Robotics are mainly employed in the transoral approach for tumor surgery of the hypopharynx, whereas the use of AI is still limited even if possible applications would be automated virtual planning and monitoring systems. The use of digitalized methods and AI are adjuncts to microvascular reconstruction. Automatization approaches and simplification of technologies will provide such applications to a broader clientele in the future; however, in CMFS, robotic-assisted resections and automated flap monitoring are not yet the standard of care.

Sections du résumé

BACKGROUND BACKGROUND
When using digitalization and artificial intelligence (AI), large amounts of data (big data) are produced, which can be processed by computers and used in the field of microvascular-reconstructive craniomaxillofacial surgery (CMFS).
OBJECTIVE OBJECTIVE
The aim of this article is to summarize current applications of digitalized medicine and AI in microvascular reconstructive CMFS.
MATERIAL AND METHODS METHODS
Review of frequent applications of digital medicine for microvascular CMFS reconstruction, focusing on digital planning, navigation, robotics and potential applications with AI.
RESULTS RESULTS
The broadest utilization of medical digitalization is in the virtual planning of microvascular transplants, individualized implants and template-guided reconstruction. Navigation is commonly used for ablative tumor surgery but less frequently in reconstructions. Robotics are mainly employed in the transoral approach for tumor surgery of the hypopharynx, whereas the use of AI is still limited even if possible applications would be automated virtual planning and monitoring systems.
CONCLUSION CONCLUSIONS
The use of digitalized methods and AI are adjuncts to microvascular reconstruction. Automatization approaches and simplification of technologies will provide such applications to a broader clientele in the future; however, in CMFS, robotic-assisted resections and automated flap monitoring are not yet the standard of care.

Identifiants

pubmed: 31965197
doi: 10.1007/s00104-019-01103-8
pii: 10.1007/s00104-019-01103-8
doi:

Types de publication

Journal Article Review

Langues

ger

Sous-ensembles de citation

IM

Pagination

216-221

Références

Int J Oral Sci. 2013 Jun;5(2):98-102
pubmed: 23703710
Oral Oncol. 2018 Mar;78:31-36
pubmed: 29496055
J Plast Reconstr Aesthet Surg. 2014 Sep;67(9):1171-85
pubmed: 24880575
J Reconstr Microsurg. 2014 Jun;30(5):289-96
pubmed: 24323480
J Craniofac Surg. 2012 Jan;23(1):272-8
pubmed: 22337424
J Oral Pathol Med. 2017 Nov;46(10):911-920
pubmed: 28677249
J Oral Maxillofac Surg. 2014 Dec;72(12):2601-12
pubmed: 25315311
J Oral Maxillofac Surg. 2018 Mar;76(3):580-594
pubmed: 29106889
Int J Comput Assist Radiol Surg. 2017 Jan;12(1):99-112
pubmed: 27393280
Laryngoscope. 2011 Mar;121(3):580-2
pubmed: 21344439
J Reconstr Microsurg. 2017 May;33(4):281-291
pubmed: 28099975
Microsurgery. 2016 Mar;36(3):246-9
pubmed: 26663239
Microvasc Res. 2018 Mar;116:64-70
pubmed: 29107094
Br J Surg. 2018 Apr;105(5):463-465
pubmed: 29603133
J Craniomaxillofac Surg. 2018 Mar;46(3):511-520
pubmed: 29395993
J Craniofac Surg. 2015 Mar;26(2):e126-32
pubmed: 25710743
Int J Oral Maxillofac Surg. 2013 Nov;42(11):1409-13
pubmed: 23827882
IEEE Trans Biomed Eng. 2017 Aug;64(8):1772-1785
pubmed: 28113257

Auteurs

E Goetze (E)

Klinik und Poliklinik für Mund‑, Kiefer- und Gesichtschirurgie - Plastische Operationen, Universitätsmedizin Mainz, Augustusplatz 2, 55131, Mainz, Deutschland.

D G E Thiem (DGE)

Klinik und Poliklinik für Mund‑, Kiefer- und Gesichtschirurgie - Plastische Operationen, Universitätsmedizin Mainz, Augustusplatz 2, 55131, Mainz, Deutschland.

M Gielisch (M)

Klinik und Poliklinik für Mund‑, Kiefer- und Gesichtschirurgie - Plastische Operationen, Universitätsmedizin Mainz, Augustusplatz 2, 55131, Mainz, Deutschland.

B Al-Nawas (B)

Klinik und Poliklinik für Mund‑, Kiefer- und Gesichtschirurgie - Plastische Operationen, Universitätsmedizin Mainz, Augustusplatz 2, 55131, Mainz, Deutschland.
Department of Oral & Maxillofacial Surgery, School of Dentistry, Kyong Hee University, Seoul, Korea.

P W Kämmerer (PW)

Klinik und Poliklinik für Mund‑, Kiefer- und Gesichtschirurgie - Plastische Operationen, Universitätsmedizin Mainz, Augustusplatz 2, 55131, Mainz, Deutschland. peer.kaemmerer@gmx.de.

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Classifications MeSH