AIMC Topic: Elective Surgical Procedures

Clear Filters Showing 11 to 20 of 40 articles

Early Postoperative Prediction of Complications and Readmission After Colorectal Cancer Surgery Using an Artificial Neural Network.

Diseases of the colon and rectum Jul 3, 2024
BACKGROUND: Early predictors of postoperative complications can risk-stratify patients undergoing colorectal cancer surgery. However, conventional regression models have limited power to identify complex nonlinear relationships among a large set of v...
Female Aged Colorectal Neoplasms Male Humans Neural Networks, Computer Retrospective Studies Logistic Models Elective Surgical Procedures Patient Readmission Anastomotic Leak Middle Aged Risk Assessment Postoperative Complications ROC Curve
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Deep learning predicts postoperative opioids refills in a multi-institutional cohort of surgical patients.

Surgery May 25, 2024
BACKGROUND: To combat the opioid epidemic, several strategies were implemented to limit the unnecessary prescription of opioids in the postoperative period. However, this leaves a subset of patients who genuinely require additional opioids with inade...
Aged Male Middle Aged Deep Learning Elective Surgical Procedures Humans Pain, Postoperative Retrospective Studies Analgesics, Opioid Female Drug Prescriptions
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Can artificial intelligence make elective hand clinic letters easier for patients to understand?

The Journal of hand surgery, European volume Apr 20, 2024
We investigated whether ChatGPT was able to increase the Flesch reading ease and the Flesch-Kincaid reading level of elective clinic letters written by hand surgeons. ChatGPT could not reliably simplify the hand clinic letters any further.
Humans Artificial Intelligence Elective Surgical Procedures Hand Reading Comprehension Correspondence as Topic
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Use of artificial intelligence in the detection of the critical view of safety during laparoscopic cholecystectomy.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Mar 18, 2024
BACKGROUND: This study aimed to evaluate the use of artificial intelligence (AI) to detect the critical view of safety during elective laparoscopic cholecystectomy.
Patient Safety Prospective Studies Female Aged Humans Artificial Intelligence Software Cholecystectomy, Laparoscopic Adult Male Middle Aged Elective Surgical Procedures
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Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.

Anesthesia and analgesia Dec 13, 2023
BACKGROUND: The American Society of Anesthesiologists Physical Status Classification System (ASA-PS) is used to classify patients' health before delivering an anesthetic. Assigning an ASA-PS Classification score to pediatric patients can be challengi...
Child, Preschool Child United States Health Status Predictive Value of Tests Elective Surgical Procedures Anesthesiology Societies, Medical Machine Learning Infant, Newborn Humans Retrospective Studies Male Female Infant Adolescent
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Machine learning and decision making in aortic arch repair.

The Journal of thoracic and cardiovascular surgery Nov 26, 2023
BACKGROUND: Decision making during aortic arch surgery regarding cannulation strategy and nadir temperature are important in reducing risk, and there is a need to determine the best individualized strategy in a data-driven fashion. Using machine lear...
Humans Machine Learning Middle Aged Risk Assessment Stroke Female Treatment Outcome Decision Support Techniques Risk Factors Retrospective Studies Aorta, Thoracic Elective Surgical Procedures Aged Clinical Decision-Making Vascular Surgical Procedures Male
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Do we need a co-pilot in the operating theatre? A cross-sectional study on surgeons' perceptions.

Scottish medical journal Oct 18, 2023
OBJECTIVE: The aim of this original study was to investigate general surgeons' perceptions on the role of dual surgeon operating for high-risk, elective complex surgical procedures.
Elective Surgical Procedures Operating Rooms Pilots Humans Cross-Sectional Studies Surgeons
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Patterns of Marijuana Use and Nicotine Exposure in Patients Seeking Elective Aesthetic Procedures.

Plastic and reconstructive surgery Oct 16, 2023
BACKGROUND: With the increasing legalization and popularity of marijuana, it is frequently and sometimes unintentionally combined with nicotine-containing products. As a consequence, patients may fail to accurately report usage during preoperative ex...
Plastic Surgery Procedures Nicotine Humans Young Adult Elective Surgical Procedures Adult Cotinine Prospective Studies Male Marijuana Use Female Middle Aged
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Tool-tissue force segmentation and pattern recognition for evaluating neurosurgical performance.

Scientific reports Jun 13, 2023
Surgical data quantification and comprehension expose subtle patterns in tasks and performance. Enabling surgical devices with artificial intelligence provides surgeons with personalized and objective performance evaluation: a virtual surgical assist...
Humans Artificial Intelligence Surgeons Monitoring, Intraoperative Elective Surgical Procedures Dissection
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The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

Scientific reports Nov 22, 2021
An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Netw...
Humans Neural Networks, Computer Machine Learning Prognosis Hospitalization Predictive Value of Tests Retrospective Studies Male Area Under Curve Postoperative Complications Intensive Care Units Middle Aged Cohort Studies Female Elective Surgical Procedures Risk Assessment ROC Curve Risk Factors Emergency Treatment
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