Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey Study [0.03%]
重症监护中实施机器学习和基于人工智能的工具的障碍评估：基于网络的调查研究
Eric Mlodzinski,Gabriel Wardi,Clare Viglione et al.
Eric Mlodzinski et al.
Background: Although there is considerable interest in machine learning (ML) and artificial intelligence (AI) in critical care, the implementation of effective algorithms into practice has been limited. ...
An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation [0.03%]
基于脊柱手术的案例持续时间预测的集成学习方法：算法开发与验证
Rodney Allanigue Gabriel,Bhavya Harjai,Sierra Simpson et al.
Rodney Allanigue Gabriel et al.
Background: Estimating surgical case duration accurately is an important operating room efficiency metric. Current predictive techniques in spine surgery include less sophisticated approaches such as classical multivariab...
Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study [0.03%]
使用在麻醉前咨询之前完成的MyRISK数字评分对患者进行围手术期风险评估的前瞻性观察研究
Fabrice Ferré,Rodolphe Laurent,Philippine Furelau et al.
Fabrice Ferré et al.
Background: The ongoing COVID-19 pandemic has highlighted the potential of digital health solutions to adapt the organization of care in a crisis context. ...
A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Pilot Randomized Controlled Trial [0.03%]
癌症手术前后减少久坐行为的实时移动干预措施：初步随机对照试验
Carissa A Low,Michaela Danko,Krina C Durica et al.
Carissa A Low et al.
Background: Sedentary behavior (SB) is prevalent after abdominal cancer surgery, and interventions targeting perioperative SB could improve postoperative recovery and outcomes. We conducted a pilot study to evaluate the f...
The Role of Wearable Technology in Measuring and Supporting Patient Outcomes Following Total Joint Replacement: Review of the Literature [0.03%]
可穿戴技术在测量和支持全关节置换术后患者预后中的作用：文献回顾
Gregory Iovanel,David Ayers,Hua Zheng
Gregory Iovanel
Background: The incidence rate of total joint replacement (TJR) continues to increase due to the aging population and the surgery that is very successful in providing pain relief to and improving function among patients w...
Personal Devices to Monitor Physical Activity and Nutritional Intake After Colorectal Cancer Surgery: Feasibility Study [0.03%]
结肠直肠癌手术后使用个人设备监测体力活动和营养摄入的可行性研究
Manouk J W van der Linden,Lenny M W Nahar van Venrooij,Emiel G G Verdaasdonk
Manouk J W van der Linden
Background: The use of self-monitoring devices is promising for improving perioperative physical activity and nutritional intake. Objective: ...
An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study [0.03%]
大型健康网络中抑制麻醉温室气体的可访问临床决策支持系统：实施研究
Priya Ramaswamy,Aalap Shah,Rishi Kothari et al.
Priya Ramaswamy et al.
Background: Inhaled anesthetics in the operating room are potent greenhouse gases and are a key contributor to carbon emissions from health care facilities. Real-time clinical decision support (CDS) systems lower anesthet...
Determining the Reliable Measurement Period for Preoperative Baseline Values With Telemonitoring Before Major Abdominal Surgery: Pilot Cohort Study [0.03%]
使用远程监控确定大型腹部手术前可靠的测量周期的初步队列研究
Marjolein E Haveman,Rianne van Melzen,Mostafa El Moumni et al.
Marjolein E Haveman et al.
Background: Preoperative telemonitoring of vital signs, physical activity, and well-being might be able to optimize prehabilitation of the patient's physical and mental condition prior to surgery, support setting alarms d...
Experiences of Health Care Professionals Working Extra Weekends to Reduce COVID-19-Related Surgical Backlog: Cross-sectional Study [0.03%]
医疗卫生专业人员加班周末以减少与COVID-19相关的手术积压的经验：横断面研究
Clyde Matava,Jeannette P So,Alomgir Hossain et al.
Clyde Matava et al.
Background: During the quiescent periods of the COVID-19 pandemic in 2020, we implemented a weekend-scheduled pediatric surgery program to reduce COVID-19-related backlogs. Over 100 staff members from anesthesiologists to...
The Use of Machine Learning to Reduce Overtreatment of the Axilla in Breast Cancer: Retrospective Cohort Study [0.03%]
机器学习在降低乳腺癌腋窝过度治疗中的应用：回顾性队列研究
Felix Jozsa,Rose Baker,Peter Kelly et al.
Felix Jozsa et al.
Background: Patients with early breast cancer undergoing primary surgery, who have low axillary nodal burden, can safely forego axillary node clearance (ANC). However, routine use of axillary ultrasound (AUS) leads to 43%...