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

Gabrielle Chenais

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Journal of Medical Internet Research|March 27, 2023
Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and ChallengesGabrielle Chenais, Emmanuel Lagarde, Cédric Gil-Jardiné
Surgical Endoscopy|July 13, 2023
Risk factors for intraoperative complications, postoperative complications, and prolonged length of stay after laparoscopic adrenalectomy by transperitoneal lateral approach: a retrospective cohort study of 547 proceduresDonatien Fouche, Gabrielle Chenais, Magalie Haissaguerre, et al.
IEEE Journal of Biomedical and Health Informatics|July 8, 2025
Application of Transformer Neural Networks for Data Cleaning in Emergency Room Logs: A Case Study from the Bordeaux University HospitalDylan Russon, Cedric Gil-Jardine, Lara Marcel, et al.
Internal and Emergency Medicine|July 29, 2021
Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional studyCédric Gil-Jardiné, Gabrielle Chenais, Catherine Pradeau, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|April 1, 2021
Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classificationCédric Gil-Jardiné, Gabrielle Chenais, Catherine Pradeau, et al.
JMIR AI|June 14, 2024
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation StudyGabrielle Chenais, Cédric Gil-Jardiné, Hélène Touchais, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Medical Internet Research|March 27, 2023
Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and ChallengesGabrielle Chenais, Emmanuel Lagarde, Cédric Gil-Jardiné
Surgical Endoscopy|July 13, 2023
Risk factors for intraoperative complications, postoperative complications, and prolonged length of stay after laparoscopic adrenalectomy by transperitoneal lateral approach: a retrospective cohort study of 547 proceduresDonatien Fouche, Gabrielle Chenais, Magalie Haissaguerre, et al.
IEEE Journal of Biomedical and Health Informatics|July 8, 2025
Application of Transformer Neural Networks for Data Cleaning in Emergency Room Logs: A Case Study from the Bordeaux University HospitalDylan Russon, Cedric Gil-Jardine, Lara Marcel, et al.
Internal and Emergency Medicine|July 29, 2021
Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional studyCédric Gil-Jardiné, Gabrielle Chenais, Catherine Pradeau, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|April 1, 2021
Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classificationCédric Gil-Jardiné, Gabrielle Chenais, Catherine Pradeau, et al.
JMIR AI|June 14, 2024
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation StudyGabrielle Chenais, Cédric Gil-Jardiné, Hélène Touchais, et al.
Pageof 1