AIMC Topic: Quality Improvement

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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...
Young Adult Adult Male Deep Learning Humans Adolescent Retrospective Studies Child, Preschool Tomography, X-Ray Computed Radiation Dosage Female Child Hepatic Veins Radiographic Image Interpretation, Computer-Assisted Mesenteric Artery, Superior Quality Improvement Common Bile Duct Pediatrics Azygos Vein
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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...
Middle Aged Neural Networks, Computer Deep Learning Tomography, X-Ray Computed Organs at Risk Head and Neck Neoplasms Humans Reproducibility of Results Quality Improvement Prostatic Neoplasms Aged Observer Variation Male Radiotherapy, Intensity-Modulated 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 Feasibility Studies Patient Readmission Quality Improvement Herniorrhaphy Hernia, Inguinal Male Middle Aged Risk Assessment Postoperative Complications Adolescent Aged Aged, 80 and over Young Adult Adult Humans Neural Networks, Computer Female Risk Factors
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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.
Surgical Wound Infection Quality Improvement Humans Machine Learning Algorithms Electronic Health Records
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Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions.

Japanese journal of radiology Oct 10, 2020
PURPOSE: To determine the image quality improvement including vascular structures using deep learning reconstruction (DLR) for ultra-high-resolution CT (UHR-CT) and area-detector CT (ADCT) compared to a commercially available hybrid-iterative reconst...
Humans Algorithms Tomography, X-Ray Computed In Vitro Techniques Kidney Abdomen Radiographic Image Interpretation, Computer-Assisted Quality Improvement Female Male Middle Aged Deep Learning Kidney Neoplasms Carcinoma, Renal Cell Arteries
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System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Sep 4, 2020
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited...
Humans Machine Learning Forecasting Prospective Studies Female Hospitalization Neoplasms Ambulatory Care Aged ROC Curve Quality Improvement Male Models, Theoretical Standard of Care Chemoradiotherapy Middle Aged Area Under Curve Radiotherapy Risk Assessment Emergency Service, Hospital
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2020 ACR Presidential Address: Quality, Ownership, and Our Role as Physicians.

Journal of the American College of Radiology : JACR Jul 6, 2020
A story from long ago reminds us of the importance of quality in our practices, of taking ownership of our patients, and of our role as physicians. The coronavirus disease 2019 (COVID-19) pandemic has disrupted our practices. Before the pandemic, man...
Societies, Medical Physician's Role Pneumonia, Viral Narration Radiology Humans Radiologists Artificial Intelligence Coronavirus Infections Pandemics Quality Improvement COVID-19 United States
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Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations.

Photodiagnosis and photodynamic therapy Jun 17, 2020
• Severe lung complications can be explored using computed tomography during COVID-19 pandemic. • Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. • Optically monitored CT along with deep learning is the best solution f...
Radiographic Image Enhancement Optical Devices Clinical Laboratory Techniques Severe Acute Respiratory Syndrome Pneumonia, Viral COVID-19 Testing Survival Analysis Quality Improvement Role Pandemics COVID-19 Tomography, X-Ray Computed Male Female Humans Vulnerable Populations Deep Learning Diagnostic Imaging Coronavirus Infections
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Evaluation of the ACS NSQIP surgical risk calculator in patients undergoing pelvic organ prolapse surgery.

International urogynecology journal Jun 16, 2020
INTRODUCTION AND HYPOTHESIS: The purpose of this study was to evaluate the accuracy of the American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) surgical risk calculator in predicting postoperative complications in pat...
Postoperative Complications Humans Robotics Retrospective Studies Quality Improvement Risk Factors Pelvic Organ Prolapse Risk Assessment
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How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach.

BMC medical informatics and decision making May 27, 2020
BACKGROUND: Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques could provide a data-driven, hos...
Humans Natural Language Processing Retrospective Studies Quality Improvement Language Patient Outcome Assessment Hospitals Text Messaging
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