AIMC Topic: Diagnostic Tests, Routine

Clear Filters Showing 21 to 30 of 74 articles

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR's) Operating Environment-A Case Study.

Sensors (Basel, Switzerland) Nov 25, 2021
The contemporary market creates a demand for continuous improvement of production, service, and management processes. Increasingly advanced IT technologies help designers to meet this demand, as they allow them to abandon classic design and design-te...
Technology Robotics Diagnostic Tests, Routine
View on PubMed DOI

Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway.

PloS one Nov 12, 2021
Aberrant expressions of apoptotic genes have been associated with papillary thyroid carcinoma (PTC) in the past, however, their prognostic role and utility as biomarkers remains poorly understood. In this study, we analysed 505 PTC patients by employ...
Biomarkers, Tumor Cohort Studies Diagnostic Tests, Routine Thyroid Cancer, Papillary Machine Learning Prognosis Humans
View on PubMed DOI

Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.

JAMA network open Nov 1, 2021
IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the planning of follow-up surveillance. Substantial variation has been observed in pathologists' classification of colorectal polyps, and improved assessmen...
Microscopy Data Accuracy Artificial Intelligence Colorectal Neoplasms Image Interpretation, Computer-Assisted New Hampshire Colonic Polyps Diagnostic Tests, Routine Humans
View on PubMed DOI

Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis.

Academic radiology Sep 17, 2021
RATIONALE AND OBJECTIVE: To perform a meta-analysis to compare the diagnostic test accuracy (DTA) of deep learning (DL) in detecting coronavirus disease 2019 (COVID-19), and to investigate how network architecture and type of datasets affect DL perfo...
COVID-19 Prospective Studies Humans Deep Learning Diagnostic Tests, Routine Retrospective Studies SARS-CoV-2
View on PubMed DOI

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.

BMJ open Jun 28, 2021
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not addre...
London Artificial Intelligence Research Design Research Report Diagnostic Tests, Routine Humans
View on PubMed DOI

A Call for Controlled Validation Data Sets: Promoting the Safe Introduction of Artificial Intelligence in Breast Imaging.

Journal of the American College of Radiology : JACR Jun 18, 2021
Diagnostic Tests, Routine Diagnostic Imaging Breast Artificial Intelligence
View on PubMed DOI

Automated detection of Mycobacterium tuberculosis using transfer learning.

Journal of infection in developing countries May 31, 2021
INTRODUCTION: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical for diagnosing tuberculosis diseases. Microbiologist encounter several challenges which can lead to misdiagnosis. However, there are 3 main challenges...
Diagnostic Tests, Routine Mycobacterium tuberculosis Humans Machine Learning Sensitivity and Specificity Tuberculosis, Pulmonary
View on PubMed DOI

Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations.

Analytica chimica acta Apr 26, 2021
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impract...
Machine Learning Biomedical Research Animals Mass Spectrometry Diagnostic Tests, Routine Mice Rats
View on PubMed DOI

Machine Learning and Intelligent Diagnostics in Dental and Orofacial Pain Management: A Systematic Review.

Pain research & management Apr 24, 2021
PURPOSE: The study explored the clinical influence, effectiveness, limitations, and human comparison outcomes of machine learning in diagnosing (1) dental diseases, (2) periodontal diseases, (3) trauma and neuralgias, (4) cysts and tumors, (5) glandu...
Machine Learning Algorithms Humans Artificial Intelligence Diagnostic Tests, Routine Facial Pain Pain Management
View on PubMed DOI

Machine learning for identifying relevant publications in updates of systematic reviews of diagnostic test studies.

Research synthesis methods Mar 28, 2021
Updating systematic reviews is often a time-consuming process that involves a lot of human effort and is therefore not conducted as often as it should be. The aim of our research project was to explore the potential of machine learning methods to red...
Diagnostic Tests, Routine Systematic Reviews as Topic Workload Machine Learning Research Design Humans
View on PubMed DOI
Popular Topics
Recent Journals