AIMC Topic: Quality Improvement

Clear Filters Showing 121 to 130 of 194 articles

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

Surgery Jul 26, 2018
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify surgical complications. We designed a natural language processing algorithm to identify and grade t...
Natural Language Processing Pulmonary Embolism Venous Thromboembolism Quality Improvement Humans Algorithms Postoperative Complications Venous Thrombosis
View on PubMed DOI

Artificial Intelligence and Radiology: A Social Media Perspective.

Current problems in diagnostic radiology Jul 23, 2018
OBJECTIVE: To use Twitter to characterize public perspectives regarding artificial intelligence (AI) and radiology.
Artificial Intelligence United States Social Media Radiology Access to Information Quality Improvement Humans
View on PubMed DOI

Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: The emergence of the deep convolutional neural network (CNN) greatly improves the quality of computer-aided supporting systems. However, due to the challenges of generating reliable and timely results, clinical adoption of computer-aided ...
Diagnosis, Computer-Assisted Deep Learning Skin Diseases Quality Improvement Neural Networks, Computer Machine Learning Algorithms Humans
View on PubMed DOI

The Artificial Intelligence Ecosystem for the Radiological Sciences: Ideas to Clinical Practice.

Journal of the American College of Radiology : JACR May 5, 2018
Humans Image Processing, Computer-Assisted Radiology Quality Improvement Artificial Intelligence Software Algorithms
View on PubMed DOI

Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.

Annals of nuclear medicine Mar 7, 2018
PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0.
Radiopharmaceuticals Japan Quality Improvement Image Interpretation, Computer-Assisted Coronary Angiography Heart Cardiac Surgical Procedures Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Organotechnetium Compounds Databases as Topic Endovascular Procedures Myocardial Ischemia Neural Networks, Computer Artificial Intelligence Female Aged Male ROC Curve Area Under Curve Humans
View on PubMed DOI

The ACR Data Science Institute and AI Advisory Group: Harnessing the Power of Artificial Intelligence to Improve Patient Care.

Journal of the American College of Radiology : JACR Feb 3, 2018
Quality Improvement Advisory Committees Societies, Medical Artificial Intelligence United States Radiology Humans
View on PubMed DOI

Inference Engine in an Intelligent Ship Course-Keeping System.

Computational intelligence and neuroscience Nov 29, 2017
The article presents an original design of an expert system, whose function is to automatically stabilize ship's course. The focus is put on the inference engine, a mechanism that consists of two functional components. One is responsible for the cons...
Decision Support Techniques Humans Ships Artificial Intelligence Equipment and Supplies Quality Improvement Algorithms
View on PubMed DOI

Improving precision of glomerular filtration rate estimating model by ensemble learning.

Journal of translational medicine Nov 9, 2017
BACKGROUND: Accurate assessment of kidney function is clinically important, but estimates of glomerular filtration rate (GFR) by regression are imprecise.
Humans Neural Networks, Computer Cohort Studies Kidney Function Tests Models, Theoretical Machine Learning Adult Data Interpretation, Statistical Renal Insufficiency, Chronic Female Quality Improvement Sensitivity and Specificity Glomerular Filtration Rate Aged Male Middle Aged
View on PubMed DOI

Early Identification of Patients With Acute Decompensated Heart Failure.

Journal of cardiac failure Sep 5, 2017
BACKGROUND: Interventions to reduce readmissions after acute heart failure hospitalization require early identification of patients. The purpose of this study was to develop and test accuracies of various approaches to identify patients with acute de...
Acute Disease Registries Heart Failure Quality Improvement Early Diagnosis Hospitalization Aged Male Middle Aged Retrospective Studies Electronic Health Records Female Humans Machine Learning Algorithms
View on PubMed DOI

Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.

Journal of neuroengineering and rehabilitation Jul 14, 2017
BACKGROUND: Robot-assisted gait therapy is increasingly being used in pediatric neurorehabilitation to complement conventional physical therapy. The robotic device applied in this study, the Lokomat (Hocoma AG, Switzerland), uses a position control m...
Electromyography Walking Exercise Therapy Heart Rate Child Muscle, Skeletal Robotics Gait Disorders, Neurologic Humans Quality Improvement Female Cerebral Palsy Young Adult Leg Biomechanical Phenomena Male Pilot Projects Adolescent
View on PubMed DOI
Popular Topics
Recent Journals