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Jordan Levine

Showing results (1-10 of 12) with videos related to

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American Journal of Perinatology|May 12, 2025
A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean DeliveryAlexis Gimovsky, Silas Monje, Jack Dunn, et al.
Urology|February 21, 2021
Cross-sectional Survey-based Study of Underrepresented Minorities in Urology Academic Leadership RolesHarold C Hamann, Jordan Levine, Shervin Badkhshan, et al.
Conservation Biology : the Journal of the Society for Conservation Biology|July 14, 2016
Sea otters, social justice, and ecosystem-service perceptions in Clayoquot Sound, CanadaJordan Levine, Michael Muthukrishna, Kai M A Chan, et al.
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|February 15, 2021
Prolonged second stage effect on pelvic floor dysfunction: a follow up survey to a randomized controlled trialAlexis C Gimovsky, Jaclyn M Phillips, Molly Amero, et al.
World Journal for Pediatric & Congenital Heart Surgery|November 16, 2021
Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification TreesDimitris Bertsimas, Daisy Zhuo, Jordan Levine, et al.
The Annals of Thoracic Surgery|December 8, 2023
Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking ToolGeorge E Sarris, Daisy Zhuo, Luca Mingardi, et al.
World Journal for Pediatric & Congenital Heart Surgery|April 28, 2021
Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning ApproachDimitris Bertsimas, Daisy Zhuo, Jack Dunn, et al.
BMC Women'S Health|June 20, 2023
Using human-centered design to co-design dedicated menstrual health spaces with people who menstruate in Bidi Bidi refugee settlement, Uganda: Learnings for further adaptation and scale in humanitarian settingsAly Beeman, Joseph Kwesiga, Nicole Ippoliti, et al.
Journal of the American College of Surgeons|March 11, 2021
Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy PatientsMajed W El Hechi, Lydia R Maurer, Jordan Levine, et al.
BMC Public Health|November 14, 2020
Design and impact evaluation of a digital reproductive health program in Rwanda using a cluster randomized design: study protocolCara Nolan, Laura Packel, Rebecca Hope, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
American Journal of Perinatology|May 12, 2025
A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean DeliveryAlexis Gimovsky, Silas Monje, Jack Dunn, et al.
Urology|February 21, 2021
Cross-sectional Survey-based Study of Underrepresented Minorities in Urology Academic Leadership RolesHarold C Hamann, Jordan Levine, Shervin Badkhshan, et al.
Conservation Biology : the Journal of the Society for Conservation Biology|July 14, 2016
Sea otters, social justice, and ecosystem-service perceptions in Clayoquot Sound, CanadaJordan Levine, Michael Muthukrishna, Kai M A Chan, et al.
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|February 15, 2021
Prolonged second stage effect on pelvic floor dysfunction: a follow up survey to a randomized controlled trialAlexis C Gimovsky, Jaclyn M Phillips, Molly Amero, et al.
World Journal for Pediatric & Congenital Heart Surgery|November 16, 2021
Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification TreesDimitris Bertsimas, Daisy Zhuo, Jordan Levine, et al.
The Annals of Thoracic Surgery|December 8, 2023
Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking ToolGeorge E Sarris, Daisy Zhuo, Luca Mingardi, et al.
World Journal for Pediatric & Congenital Heart Surgery|April 28, 2021
Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning ApproachDimitris Bertsimas, Daisy Zhuo, Jack Dunn, et al.
BMC Women'S Health|June 20, 2023
Using human-centered design to co-design dedicated menstrual health spaces with people who menstruate in Bidi Bidi refugee settlement, Uganda: Learnings for further adaptation and scale in humanitarian settingsAly Beeman, Joseph Kwesiga, Nicole Ippoliti, et al.
Journal of the American College of Surgeons|March 11, 2021
Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy PatientsMajed W El Hechi, Lydia R Maurer, Jordan Levine, et al.
BMC Public Health|November 14, 2020
Design and impact evaluation of a digital reproductive health program in Rwanda using a cluster randomized design: study protocolCara Nolan, Laura Packel, Rebecca Hope, et al.
Pageof 2