JMIR Perioperative Medicine: 2023, vol: 6, issue:
- 1)- Jiancheng Ye. Patient Safety of Perioperative Medication Through the Lens of Digital Health and Artificial Intelligence. JMIR perioperative medicine. 2023, 6: e34453
Cited : 11Read More - 2)- Sabrina Grant, Emma Tonkin, Ian Craddock, Ashley Blom, Michael Holmes, Andrew Judge, Alessandro Masullo, Miquel Perello Nieto, Hao Song, Michael Whitehouse, Peter Flach, Rachael Gooberman-Hill. Toward Enhanced Clinical Decision Support for Patients Undergoing a Hip or Knee Replacement: Focus Group and Interview Study With Surgeons. JMIR perioperative medicine. 2023, 6: e36172Cited : 0Read More
- 3)- Jacob H Cole, Krista B Highland, Scott B Hughey, Brendan J O'Shea, Thomas Hauert, Ashton H Goldman, George C Balazs, Gregory J Booth. The Association Between Borderline Dysnatremia and Perioperative Morbidity and Mortality: Retrospective Cohort Study of the American College of Surgeons National Surgical Quality Improvement Program Database. JMIR perioperative medicine. 2023, 6: e38462Cited : 5Read More
- 4)- Fabrice Ferré, Rodolphe Laurent, Philippine Furelau, Emmanuel Doumard, Anne Ferrier, Laetitia Bosch, Cyndie Ba, Rémi Menut, Matt Kurrek, Thomas Geeraerts, Antoine Piau, Vincent Minville. Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study. JMIR perioperative medicine. 2023, 6: e39044Cited : 3Read More
- 5)- Gregory Iovanel, David Ayers, Hua Zheng. The Role of Wearable Technology in Measuring and Supporting Patient Outcomes Following Total Joint Replacement: Review of the Literature. JMIR perioperative medicine. 2023, 6: e39396Cited : 5Read More
- 6)- Rodney Allanigue Gabriel, Bhavya Harjai, Sierra Simpson, Austin Liu Du, Jeffrey Logan Tully, Olivier George, Ruth Waterman. An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation. JMIR perioperative medicine. 2023, 6: e39650Cited : 7Read More
- 7)- Mihyun Lim Waugh, Nicholas Boltin, Lauren Wolf, Jane Goodwin, Patti Parker, Ronnie Horner, Matthew Hermes, Thomas Wheeler, Richard Goodwin, Melissa Moss. Prediction of Pelvic Organ Prolapse Postsurgical Outcome Using Biomaterial-Induced Blood Cytokine Levels: Machine Learning Approach. JMIR perioperative medicine. 2023, 6: e40402Cited : 0Read More
- 8)- Rodney Allanigue Gabriel, Sierra Simpson, William Zhong, Brittany Nicole Burton, Soraya Mehdipour, Engy Tadros Said. A Neural Network Model Using Pain Score Patterns to Predict the Need for Outpatient Opioid Refills Following Ambulatory Surgery: Algorithm Development and Validation. JMIR perioperative medicine. 2023, 6: e40455Cited : 2Read More
- 9)- Jonna A van der Stam, Eveline H J Mestrom, Jai Scheerhoorn, Fleur E N B Jacobs, Simon Nienhuijs, Arjen-Kars Boer, Natal A W van Riel, Helma M de Morree, Alberto G Bonomi, Volkher Scharnhorst, R Arthur Bouwman. The Accuracy of Wrist-Worn Photoplethysmogram-Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study. JMIR perioperative medicine. 2023, 6: e40474Cited : 2Read More
- 10)- Eric Mlodzinski, Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura Crotty Alexander, Atul Malhotra. Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey Study. JMIR perioperative medicine. 2023, 6: e41056Cited : 10Read More
- 11)- Carissa A Low, Michaela Danko, Krina C Durica, Julio Vega, Meng Li, Abhineeth Reddy Kunta, Raghu Mulukutla, Yiyi Ren, Susan M Sereika, David L Bartlett, Dana H Bovbjerg, Anind K Dey, John M Jakicic. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Pilot Randomized Controlled Trial. JMIR perioperative medicine. 2023, 6: e41425Cited : 3Read More
- 12)- Lyndsay Chapman, Tom Ren, Jake Solka, Angela R Bazzi, Brian Borsari, Michael J Mello, Anne C Fernandez. Reducing Alcohol Use Before and After Surgery: Qualitative Study of Two Treatment Approaches. JMIR perioperative medicine. 2023, 6: e42532Cited : 0Read More
- 13)- Sumeet Gopwani, Ehab Bahrun, Tanvee Singh, Daniel Popovsky, Joseph Cramer, Xue Geng. Efficacy of Electronic Reminders in Increasing the Enhanced Recovery After Surgery Protocol Use During Major Breast Surgery: Prospective Cohort Study. JMIR perioperative medicine. 2023, 6: e44139Cited : 1Read More
- 14)- Mathilde C van Rossum, Robin E M Bekhuis, Ying Wang, Johannes H Hegeman, Ellis C Folbert, Miriam M R Vollenbroek-Hutten, Cornelis J Kalkman, Ewout A Kouwenhoven, Hermie J Hermens. Early Warning Scores to Support Continuous Wireless Vital Sign Monitoring for Complication Prediction in Patients on Surgical Wards: Retrospective Observational Study. JMIR perioperative medicine. 2023, 6: e44483Cited : 1Read More
- 15)- Jobbe P L Leenen, Vera Ardesch, Gijsbert Patijn. Remote Home Monitoring of Continuous Vital Sign Measurements by Wearables in Patients Discharged After Colorectal Surgery: Observational Feasibility Study. JMIR perioperative medicine. 2023, 6: e45113Cited : 4Read More
- 16)- Rama Syamala Sreepada, Ai Ching Chang, Nicholas C West, Jonath Sujan, Brendan Lai, Andrew K Poznikoff, Rebecca Munk, Norbert R Froese, James C Chen, Matthias Görges. Dashboard of Short-Term Postoperative Patient Outcomes for Anesthesiologists: Development and Preliminary Evaluation. JMIR perioperative medicine. 2023, 6: e47398Cited : 2Read More
- 17)- Xinwen Hu, Bethany R Tellor Pennington, Michael S Avidan, Sachin Kheterpal, Nastassjia G deBourbon, Mary C Politi. Description of the Content and Quality of Publicly Available Information on the Internet About Inhaled Volatile Anesthesia and Total Intravenous Anesthesia: Descriptive Study. JMIR perioperative medicine. 2023, 6: e47714Cited : 0Read More
- 18)- Gaëtan Mignanelli, Richard Boyer, Nicolas Bonifas, Emmanuel Rineau, Yassine Moussali, Morgan Le Guen. Survey of the Impact of Decision Support in Preoperative Management of Anemia (i-Anemia): Survey Study. JMIR perioperative medicine. 2023, 6: e49186Cited : 0Read More
- 19)- Jessica Kelley Morgan, Caitlin R Rawlins, Steven K Walther, Andrew Harvey, Annmarie O'Donnell, Marla Greene, Troy G Schmidt. A Mobile App for Postoperative Pain Management Among Older Veterans Undergoing Total Knee Arthroplasty: Mixed Methods Feasibility and Acceptability Pilot Study. JMIR perioperative medicine. 2023, 6: e50116Cited : 1Read More
- 20)- Kozo Nakanishi, Hidenori Goto. A New Index for the Quantitative Evaluation of Surgical Invasiveness Based on Perioperative Patients' Behavior Patterns: Machine Learning Approach Using Triaxial Acceleration. JMIR perioperative medicine. 2023, 6: e50188Cited : 0Read More
- 21)- Ben Smith, Christopher Paton, Prashanth Ramaraj. Teaching Basic Surgical Skills Using a More Frugal, Near-Peer, and Environmentally Sustainable Way: Mixed Methods Study. JMIR perioperative medicine. 2023, 6: e50212Cited : 0Read More
- 22)- Koutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, Yohei Takayama, Syota Fukushige, Hidehisa Soejima, Naoki Nakashima, Masahiro Kamouchi. Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study. JMIR perioperative medicine. 2023, 6: e50895Cited : 0Read More
- 23)- Nidhi Rohatgi. JMIR Perioperative Medicine: A Global Journal for Publishing Interdisciplinary Innovations, Research, and Perspectives. JMIR perioperative medicine. 2023, 6: e54344Cited : 0Read More
