Artificial intelligence: Let’s revolutionize efficiency in the operating room! - 02/10/26
Doi : 10.1016/j.otsr.2026.104732
Louis Dagneaux a, b, ⁎ 
, Carla Tournoud a, Jesse I. Wolfstadt c, d, Johnathan Lex c, d, Julian Costantini e, Joshua C. Rozell f, Stanislas de Couasnon g
, Carla Tournoud a, Jesse I. Wolfstadt c, d, Johnathan Lex c, d, Julian Costantini e, Joshua C. Rozell f, Stanislas de Couasnon g a Department of Orthopaedic Surgery, University Hospital of Montpellier, University of Montpellier, 371 av. Gaston Giraud, 34295 Montpellier Cedex 05, France
b Laboratoire de Mécanique et Génie Civil (LMGC), Univ. of Montpellier, 860 Rue de St-Priest, 34090 Montpellier, France
c Granovsky Gluskin Division of Orthopaedics, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
d Division of Orthopaedics, Departement of Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
e Knee Surgery Department, Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
f Department of Orthopedic Surgery, NYU Langone Health, New York, NY, United States
g ESSEC Business School, Department of Information Systems, Decision Sciences and Statistics, Paris, France
⁎ Corresponding author at: Department of Orthopaedic Surgery, University Hospital of Montpellier, University of Montpellier, 371 av. Gaston Giraud, 34295 Montpellier Cedex 05, France. Department of Orthopaedic Surgery University Hospital of Montpellier University of Montpellier 371 av. Gaston Giraud Montpellier Cedex 05 34295 France
Keywords : Machine learning, Workflows, Big data in health, Lean Six Sigma methodologies, Operating room efficiency, Artificial intelligence in orthopaedics
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Elsevier Masson SAS. Tous droits réservés.
Vol 112 - N° 6
Article 104732- octobre 2026 Retour au numéro
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