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This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1729) Clinical Information and Decision Making (2184) Surgery, Trauma and Surgical Sciences (237) Tools, Programs and Algorithms (431) Design of Processes and Workflows (236) Orthopedics (119) Machine Learning (2345) Artificial Intelligence in Surgery and Perioperative Medicine (56)

Published on in Vol 13 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70857, first published .
Dental clinic receptionists reviewing patient records on computer screen

Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Authors of this article:

Johnathan R Lex1, 2, 3 Author Orcid Image ;   Aazad Abbas1, 2, 3 Author Orcid Image ;   Jacob Mosseri1, 4 Author Orcid Image ;   Jay Singh Toor5, 6 Author Orcid Image ;   Michael Simone1, 4 Author Orcid Image ;   Bheeshma Ravi3, 7 Author Orcid Image ;   Cari Whyne1, 2, 3, 7 Author Orcid Image ;   Elias B Khalil4 Author Orcid Image
Article Authors Cited by (14) Tweetations Metrics

Journals

  1. Yao X, Rao A, Padman R. Analytical approaches for medication management for patient safety: a scoping review. npj Health Systems 2025;2(1) View
  2. Abbas A, Saleh I, Wong P, Larouche J, Abouali J, Park S, Chan T, Sarhangian V, Toor J. Optimizing Daily Surgical Scheduling Improves Operative Time Consumption: A Retrospective Study. Arthroplasty Today 2026:101926 View
  3. Baigarayeva Z, Boltaboyeva A, Imanbek B, Amangeldy B, Tasmurzayev N, Ozhikenov K, Ozhiken A, Alimbayeva Z, Maeda-Nishino N. Non-Imaging Differential Diagnosis of Lower Limb Osteoarthritis: An Interpretable Machine Learning Framework. Algorithms 2026;19(1):87 View
  4. Lex J, Abbas A, Toor J, Khalil E, Ravi B, Whyne C. Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation. BMJ Health & Care Informatics 2026;33(1):e101420 View
  5. Magouliotis D, Sicouri N, Ramlawi L, Baudo M, Androutsopoulou V, Sicouri S. Artificial Intelligence in Adult Cardiovascular Medicine and Surgery: Real-World Deployments and Outcomes. Journal of Personalized Medicine 2026;16(2):69 View
  6. Dexter F, Fahy B, Epstein R. Percentages of Surgical Procedure Combinations That Were Performed Just Once or Twice at Florida Hospital and Ambulatory Surgery Centers During Each Quarter From 2010 Through 2024. Cureus 2026 View
  7. Fuji T, Takagi K, Yasui K, Nishiyama T, Nagai Y, Okada N, Yokoyama S, Fujiwara T. Surgical Outcomes of Sequential Robot‐Assisted Hepatobiliary–Pancreatic Surgery in a Single Operating Room: A Single‐Center Retrospective Analysis of a High‐Volume Center in Japan (TAKUMI‐6). Annals of Gastroenterological Surgery 2026 View
  8. Dave R, Vediya N, Sharma N, Shah A, Whelan D, Wolfstadt J. Large Language Models Outperform PGY-5 Residents on the Orthopaedic In-Training Examination: A Comparative Analysis of Six Cutting-Edge Large Language Models. Journal of the American Academy of Orthopaedic Surgeons 2026 View
  9. Pan H, Xie X. SPACE: a surgical pool-augmented, capacity-embedded framework for demand smoothing and coordination in operating room scheduling. IISE Transactions on Healthcare Systems Engineering 2026;16(2):178 View
  10. Dagneaux L, Tournoud C, Wolfstadt J, Lex J, Costantini J, Rozell J, de Couasnon S. Artificial intelligence: Let’s revolutionize efficiency in the operating room!. Orthopaedics & Traumatology: Surgery & Research 2026:104732 View
  11. Hoffa M, Kwart A, Bice M, Tribus C, Williams S, Bernatz J. Predicting Operative Time of Single-level Lumbar Laminectomy Based on Patient Factors. Spine Open 2026;2(2) View
  12. Ade-Conde A, Ahmed I, Shah A, Hardisty M, Whyne C, Ravi B, Chaudhry H. Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty. The Journal of Arthroplasty 2026 View
  13. Dwajan A, Patro D, Agarwal A, Lalhmingmawii M. Artificial intelligence in orthopaedics: Clinical decision support, medical imaging, surgical planning, and outcome prediction. World Journal of Clinical Cases 2026;14(17) View

Conference Proceedings

  1. Dehghannezhad M, Laar J, Khamis A, Almoghathawi Y. 2026 IEEE 5th International Conference on Computing and Machine Intelligence (ICMI). Surgery Scheduling Optimization using an Adaptive Genetic Algorithm with Q-Learning Guided Tournament Selection View