AIMC Topic: Quality Improvement

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Bridging the artificial intelligence valley of death in surgical decision-making.

Surgery Feb 16, 2021
Humans Disease Management Quality Improvement General Surgery Critical Pathways Artificial Intelligence Decision Support Techniques Clinical Decision-Making Decision Support Systems, Clinical
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From Code to Bedside: Implementing Artificial Intelligence Using Quality Improvement Methods.

Journal of general internal medicine Jan 19, 2021
Despite increasing interest in how artificial intelligence (AI) can augment and improve healthcare delivery, the development of new AI models continues to outpace adoption in existing healthcare processes. Integration is difficult because current app...
Research Design Delivery of Health Care Quality Improvement Humans Artificial Intelligence
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Striving for quality improvement: can artificial intelligence help?

Best practice & research. Clinical gastroenterology Dec 29, 2020
Artificial intelligence (AI) is of keen interest for global health development as potential support for current human shortcomings. Gastrointestinal (GI) endoscopy is an excellent substrate for AI, since it holds the genuine potential to improve qual...
Humans Stomach Neoplasms Artificial Intelligence Endoscopy, Gastrointestinal Prospective Studies Quality Improvement
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Improving ED Emergency Severity Index Acuity Assignment Using Machine Learning and Clinical Natural Language Processing.

Journal of emergency nursing Dec 24, 2020
INTRODUCTION: Triage is critical to mitigating the effect of increased volume by determining patient acuity, need for resources, and establishing acuity-based patient prioritization. The purpose of this retrospective study was to determine whether hi...
Retrospective Studies Electronic Health Records Female Aged Humans Machine Learning Natural Language Processing Emergency Service, Hospital Patient Acuity Quality Improvement Child Adult United States Male Predictive Value of Tests Middle Aged Triage Adolescent
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Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Dec 19, 2020
Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most investigated, however, upper GI follows the lead. Since endoscopy ...
Endoscopy, Gastrointestinal Quality Improvement Humans Artificial Intelligence Colonoscopy Diagnosis, Computer-Assisted
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Intelligent checklists improve checklist compliance in the intensive care unit: a prospective before-and-after mixed-method study.

British journal of anaesthesia Nov 17, 2020
BACKGROUND: We examined whether a context and process-sensitive 'intelligent' checklist increases compliance with best practice compared with a paper checklist during intensive care ward rounds.
Practice Patterns, Physicians' Attitude to Computers Teaching Rounds Quality Indicators, Health Care Practice Guidelines as Topic Checklist Length of Stay Decision Support Systems, Clinical Guideline Adherence Health Status Paper Benchmarking Critical Care Artificial Intelligence Quality Improvement Patient Safety Humans Prospective Studies Intensive Care Units
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Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.

Radiology Nov 17, 2020
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image noise. How the DLR affects image quality and radiation dose reduction has yet to be fully investigated. Purpose To investigate a DLR algorithm's dose redu...
Pediatrics Radiation Dosage Hepatic Veins Mesenteric Artery, Superior Child, Preschool Child Radiographic Image Interpretation, Computer-Assisted Quality Improvement Common Bile Duct Azygos Vein Retrospective Studies Tomography, X-Ray Computed Female Young Adult Adult Humans Male Deep Learning Adolescent
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Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers.

JAMA network open Nov 2, 2020
IMPORTANCE: Personalized radiotherapy planning depends on high-quality delineation of target tumors and surrounding organs at risk (OARs). This process puts additional time burdens on oncologists and introduces variability among both experts and inst...
Aged Male Middle Aged Deep Learning Head and Neck Neoplasms Prostatic Neoplasms Organs at Risk Quality Improvement Humans Neural Networks, Computer Observer Variation Tomography, X-Ray Computed Radiotherapy, Intensity-Modulated Reproducibility of Results Radiotherapy, Image-Guided
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The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

The Journal of surgical research Oct 21, 2020
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Hospital Mortality Logistic Models Treatment Outcome Elective Surgical Procedures Hernia, Inguinal Neural Networks, Computer Middle Aged Female Risk Assessment Feasibility Studies Humans Risk Factors Aged, 80 and over Postoperative Complications Patient Readmission Young Adult Aged Quality Improvement Adult Adolescent Herniorrhaphy Male
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Accelerating Surgical Site Infection Abstraction With a Semi-automated Machine-learning Approach.

Annals of surgery Oct 14, 2020
OBJECTIVE: To demonstrate that a semi-automated approach to health data abstraction provides significant efficiencies and high accuracy.
Electronic Health Records Surgical Wound Infection Quality Improvement Humans Machine Learning Algorithms
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