Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Elias B Khalil

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Journal of Industrial Ecology|April 22, 2026
Image-based prediction of residential building attributes with deep learningWeimin Huang, Alexander W Olson, Elias B Khalil, et al.
BMJ Health & Care Informatics|January 23, 2026
Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisationJohnathan Robert Lex, Aazad Abbas, Jay S Toor, et al.
International Journal of Medical Informatics|December 31, 2021
Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplastyAazad Abbas, Jacob Mosseri, Johnathan R Lex, et al.
JMIR Medical Informatics|September 10, 2025
Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective StudyJohnathan R Lex, Aazad Abbas, Jacob Mosseri, et al.
BMJ Open|July 6, 2026
Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findingsIsabella Herrington, Julie Makarski, Divya Mathura, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Industrial Ecology|April 22, 2026
Image-based prediction of residential building attributes with deep learningWeimin Huang, Alexander W Olson, Elias B Khalil, et al.
BMJ Health & Care Informatics|January 23, 2026
Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisationJohnathan Robert Lex, Aazad Abbas, Jay S Toor, et al.
International Journal of Medical Informatics|December 31, 2021
Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplastyAazad Abbas, Jacob Mosseri, Johnathan R Lex, et al.
JMIR Medical Informatics|September 10, 2025
Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective StudyJohnathan R Lex, Aazad Abbas, Jacob Mosseri, et al.
BMJ Open|July 6, 2026
Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findingsIsabella Herrington, Julie Makarski, Divya Mathura, et al.
Pageof 1