Artificial Intelligence in Surgery and Perioperative Medicine

Internet of Things and New Technologies for Tracking Perioperative Patients With an Innovative Model for Operating Room Scheduling: Protocol for a Development and Feasibility Study

Eleonora Bottani, Valentina Bellini, Monica Mordonini, Mattia Pellegrino, Gianfranco Lombardo, Beatrice Franchi, Michelangelo Craca, Elena Bignami

JMIR Res Protoc 2023 (Jul 05); 12:e45477

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Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development

Ruben S Zoodsma, Rian Bosch, Thomas Alderliesten, Casper W Bollen, Teus H Kappen, Erik Koomen, Arno Siebes, Joppe Nijman

JMIR Cardio 2023 (May 16); 7:e45190

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Application of Virtual and Augmented Reality Technology in Hip Surgery: Systematic Review

Peng Sun, Yao Zhao, Jie Men, Zhe-Ru Ma, Hao-Zhuo Jiang, Cheng-Yan Liu, Wei Feng

J Med Internet Res 2023 (Mar 10); 25:e37599

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Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Eric Mlodzinski, Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura Crotty Alexander, Atul Malhotra

JMIR Perioper Med 2023 (Jan 27); 6:e41056

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An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

Rodney Allanigue Gabriel, Bhavya Harjai, Sierra Simpson, Austin Liu Du, Jeffrey Logan Tully, Olivier George, Ruth Waterman

JMIR Perioper Med 2023 (Jan 26); 6:e39650

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Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study

Graeme McLeod, Iain Kennedy, Eilidh Simpson, Judith Joss, Katriona Goldmann

Interact J Med Res 2022 (Mar 30); 11(1):e34096

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Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Seo Jeong Shin, Jungchan Park, Seung-Hwa Lee, Kwangmo Yang, Rae Woong Park

JMIR Med Inform 2021 (Oct 14); 9(10):e32771

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Predicting Prolonged Apnea During Nurse-Administered Procedural Sedation: Machine Learning Study

Aaron Conway, Carla R Jungquist, Kristina Chang, Navpreet Kamboj, Joanna Sutherland, Sebastian Mafeld, Matteo Parotto

JMIR Perioper Med 2021 (Oct 05); 4(2):e29200

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Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development

Sooho Choe, Eunjeong Park, Wooseok Shin, Bonah Koo, Dongjin Shin, Chulwoo Jung, Hyungchul Lee, Jeongmin Kim

JMIR Med Inform 2021 (Sep 30); 9(9):e31311

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Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

Syed Asil Ali Naqvi, Karthik Tennankore, Amanda Vinson, Patrice C Roy, Syed Sibte Raza Abidi

J Med Internet Res 2021 (Aug 27); 23(8):e26843

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Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register

Yang Cao, Ingmar Näslund, Erik Näslund, Johan Ottosson, Scott Montgomery, Erik Stenberg

JMIR Med Inform 2021 (Aug 19); 9(8):e25612

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Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal

Nick de Pennington, Guy Mole, Ernest Lim, Madison Milne-Ives, Eduardo Normando, Kanmin Xue, Edward Meinert

JMIR Res Protoc 2021 (Jul 28); 10(7):e27227

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Neural Machine Translation–Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study

Hyeon Joo, Michael Burns, Sai Saradha Kalidaikurichi Lakshmanan, Yaokun Hu, V G Vinod Vydiswaran

JMIR Form Res 2021 (May 26); 5(5):e22461

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Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning

Zhipeng Chen, Daniel D Zeng, Ryan G N Seltzer, Blake D Hamilton

JMIR Med Inform 2021 (May 11); 9(5):e24721

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