AIMC Topic: Diagnostic Tests, Routine
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Machine-learned pattern identification in olfactory subtest results.
Scientific reports
Oct 20, 2016
The human sense of smell is often analyzed as being composed of three main components comprising olfactory threshold, odor discrimination and the ability to identify odors. A relevant distinction of the three components and their differential changes...
Integrating artificial intelligence into diagnostic testing for parasitic disease.
The Veterinary record
Jun 1, 2025
With artificial intelligence becoming increasingly embedded in society, some are questioning whether it could also be used to support the diagnosis and management of parasitic disease.
A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions.
BMC medical informatics and decision making
May 15, 2025
BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread application across various domains, showing encouraging outcomes. Many studies have utilized AI to forecast emergency department (ED) disposition, aiming to f...
Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.
Clinical and experimental medicine
May 10, 2025
Although machine learning is frequently used in medicine for predictive purposes, its accuracy in diabetes-related amputation (DRA) remains unclear. From establishing the database until December 2024, we conducted a comprehensive search of PubMed, We...
Hazards for the Implementation and Use of Artificial Intelligence Enabled Digital Health Interventions, a UK Perspective.
Studies in health technology and informatics
Jan 14, 2022
BACKGROUND: Artificial Intelligence (AI) has seen an increased application within digital healthcare interventions (DHIs). DHIs use entails challenges about their safety assurance. Exacerbated by regulatory requirements, in the UK, this places the on...
Towards Fast Region Adaptive Ultrasound Beamformer for Plane Wave Imaging Using Convolutional Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Automatic learning algorithms for improving the image quality of diagnostic B-mode ultrasound (US) images have been gaining popularity in the recent past. In this work, a novel convolutional neural network (CNN) is trained using time of flight correc...
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.
Nature medicine
Oct 1, 2021
Similarity Calculation, Enrichment Analysis, and Ontology Visualization of Biomedical Ontologies using UFO.
Current protocols
Apr 1, 2021
The rapid growth of biomedical ontologies observed in recent years has been reported to be useful in various applications. In this article, we propose two main-function protocols-term-related and entity-related-with the three most common ontology ana...
Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.
Technology in cancer research & treatment
Jan 1, 2021
Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are invasive and complex procedures with possible complications. This study aimed to determine models for CRC identification that involve minimally invas...
Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2019
OBJECTIVE: Emergency departments (EDs) continue to pursue optimal patient flow without sacrificing quality of care. The speed with which a healthcare provider receives pertinent information, such as results from clinical orders, can impact flow. We s...
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