Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review

Background Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has proved to have a great potential in supporting clinical decisions at each stage of the healthcare process. In this article, we have systematically reviewed...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BMC musculoskeletal disorders Jg. 26; H. 1; S. 126 - 14
Hauptverfasser:	Giaccone, Paolo, D’Antoni, Federico, Russo, Fabrizio, Ambrosio, Luca, Papalia, Giuseppe Francesco, d’Angelis, Onorato, Vadalà, Gianluca, Comelli, Albert, Vollero, Luca, Merone, Mario, Papalia, Rocco, Denaro, Vincenzo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 07.02.2025 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accuracy Algorithms Artificial Intelligence Back pain Back surgery Backache Classification Clinical Decision-Making - methods Computational linguistics Data mining Decision making Decision support systems Decision Support Systems, Clinical Deep learning Degenerative disc disease Disease prevention Epidemiology Evidence-based medicine Humans Internal Medicine Intervertebral Disc Degeneration - complications Intervertebral Disc Degeneration - prevention & control Intervertebral Disc Degeneration - therapy Language processing Low back pain Low Back Pain - etiology Low Back Pain - prevention & control Low Back Pain - therapy Lumbar Vertebrae Machine learning Medical research Medicine Medicine & Public Health Medicine, Experimental Natural language interfaces Neural networks Orthopedics Patients Prevention Rehabilitation Rheumatology Spine Spine (lumbar) Sports Medicine Systematic Review Deep learning Prevention Decision support system Spine Low back pain Intervertebral disc Machine learning Artificial intelligence
ISSN:	1471-2474, 1471-2474
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!