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

Quinlan D Buchlak

Showing results (1-10 of 27) with videos related to

Pageof 3
Sort By:
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|January 10, 2024
Opportunities for developing neural stem cell treatments for acute ischemic stroke: A systematic review and gap analysisQuinlan D Buchlak, Nazanin Esmaili, Justin Moore
Acta Neurochirurgica. Supplement|December 4, 2021
Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic ReviewQuinlan D Buchlak, Nazanin Esmaili, Christine Bennett, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and NeurosurgeryMargaret A Somerville, Quinlan D Buchlak, Christine C Bennett
Current Reviews in Musculoskeletal Medicine|June 5, 2016
Complication avoidance with pre-operative screening: insights from the Seattle spine teamQuinlan D Buchlak, Vijay Yanamadala, Jean-Christophe Leveque, et al.
Neurosurgical Focus|August 2, 2017
Correction of severe spinopelvic mismatch: decreased blood loss with lateral hyperlordotic interbody grafts as compared with pedicle subtraction osteotomyJean-Christophe Leveque, Vijay Yanamadala, Quinlan D Buchlak, et al.
European Journal of Orthopaedic Surgery & Traumatology : Orthopedie Traumatologie|June 26, 2021
Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic reviewQuinlan D Buchlak, Joe Clair, Nazanin Esmaili, et al.
Artificial Intelligence in Medicine|January 19, 2021
Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidentsNazanin Esmaili, Quinlan D Buchlak, Massimo Piccardi, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|September 2, 2018
Risk stratification in deep brain stimulation surgery: Development of an algorithm to predict patient discharge disposition with 91.9% accuracyQuinlan D Buchlak, Mark Kowalczyk, Jean-Christophe Leveque, et al.
The Laryngoscope|July 14, 2023
Predicting Acoustic Hearing Preservation Following Cochlear Implant Surgery Using Machine LearningDaniel M Zeitler, Quinlan D Buchlak, Savindi Ramasundara, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|July 6, 2017
The Seattle spine score: Predicting 30-day complication risk in adult spinal deformity surgeryQuinlan D Buchlak, Vijay Yanamadala, Jean-Christophe Leveque, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|January 10, 2024
Opportunities for developing neural stem cell treatments for acute ischemic stroke: A systematic review and gap analysisQuinlan D Buchlak, Nazanin Esmaili, Justin Moore
Acta Neurochirurgica. Supplement|December 4, 2021
Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic ReviewQuinlan D Buchlak, Nazanin Esmaili, Christine Bennett, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and NeurosurgeryMargaret A Somerville, Quinlan D Buchlak, Christine C Bennett
Current Reviews in Musculoskeletal Medicine|June 5, 2016
Complication avoidance with pre-operative screening: insights from the Seattle spine teamQuinlan D Buchlak, Vijay Yanamadala, Jean-Christophe Leveque, et al.
Neurosurgical Focus|August 2, 2017
Correction of severe spinopelvic mismatch: decreased blood loss with lateral hyperlordotic interbody grafts as compared with pedicle subtraction osteotomyJean-Christophe Leveque, Vijay Yanamadala, Quinlan D Buchlak, et al.
European Journal of Orthopaedic Surgery & Traumatology : Orthopedie Traumatologie|June 26, 2021
Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic reviewQuinlan D Buchlak, Joe Clair, Nazanin Esmaili, et al.
Artificial Intelligence in Medicine|January 19, 2021
Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidentsNazanin Esmaili, Quinlan D Buchlak, Massimo Piccardi, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|September 2, 2018
Risk stratification in deep brain stimulation surgery: Development of an algorithm to predict patient discharge disposition with 91.9% accuracyQuinlan D Buchlak, Mark Kowalczyk, Jean-Christophe Leveque, et al.
The Laryngoscope|July 14, 2023
Predicting Acoustic Hearing Preservation Following Cochlear Implant Surgery Using Machine LearningDaniel M Zeitler, Quinlan D Buchlak, Savindi Ramasundara, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|July 6, 2017
The Seattle spine score: Predicting 30-day complication risk in adult spinal deformity surgeryQuinlan D Buchlak, Vijay Yanamadala, Jean-Christophe Leveque, et al.
Pageof 3