AIMC Topic: Reference Standards
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Monitoring Immunohistochemical Staining Variations Using Artificial Intelligence on Standardized Controls.
Laboratory investigation; a journal of technical methods and pathology
Feb 12, 2025
Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient management. Visual assessment is the most commonly used method to assess the quality of IHC slides from patient samples in daily pathology routines. Control...
Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.
European journal of radiology
Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Elasticity Imaging Techniques
Echo-Planar Imaging
Magnetic Resonance Imaging
Liver
Principal Component Analysis
Image Interpretation, Computer-Assisted
Reference Standards
Area Under Curve
Biopsy
ROC Curve
Liver Cirrhosis
Support Vector Machine
Male
Middle Aged
Severity of Illness Index
Humans
Aged
Adult
Retrospective Studies
Female
Comparison of deep learning schemes in grading non-alcoholic fatty liver disease using B-mode ultrasound hepatorenal window images with liver biopsy as the gold standard.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Dec 2, 2024
BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in hepatic steatosis (HS) grading of Non-Alcoholic Fatty Liver Disease (NAFLD) patients, using as input B-mode US images containing right kidney (RK) cort...
External evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard.
International journal of cardiology
Oct 19, 2024
OBJECTIVE: There are few studies evaluating the accuracy of commercially available AI-powered digital auscultation platforms in detecting valvular heart disease (VHD). Therefore, the utility of these systems for diagnosing clinically significant VHD ...
Comparison between artificial intelligence solution and radiologist for the detection of pelvic, hip and extremity fractures on radiographs in adult using CT as standard of reference.
Diagnostic and interventional imaging
Sep 19, 2024
PURPOSE: The purpose of this study was to compare the diagnostic performance of an artificial intelligence (AI) solution for the detection of fractures of pelvic, proximal femur or extremity fractures in adults with radiologist interpretation of radi...
Empowering standardization of cancer vaccines through ontology: enhanced modeling and data analysis.
Journal of biomedical semantics
Jun 19, 2024
BACKGROUND: The exploration of cancer vaccines has yielded a multitude of studies, resulting in a diverse collection of information. The heterogeneity of cancer vaccine data significantly impedes effective integration and analysis. While CanVaxKB ser...
Deep Learning Augmented Osteoarthritis Grading Standardization.
Tissue engineering. Part A
Dec 15, 2023
Manual grading of cartilage histology images for investigating the extent and severity of osteoarthritis (OA) involves critical examination of the cell characteristics, which makes this task tiresome, tedious, and error prone. This results in wide in...
The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study.
BMC medical research methodology
Dec 13, 2023
BACKGROUND: Complete reporting is essential for clinical research. However, the endorsement of reporting guidelines in radiological journals is still unclear. Further, as a field extensively utilizing artificial intelligence (AI), the adoption of bot...
Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows.
Scientific data
Oct 21, 2023
Recent advances in computer-aided diagnosis, treatment response and prognosis in radiomics and deep learning challenge radiology with requirements for world-wide methodological standards for labeling, preprocessing and image acquisition protocols. Th...
Standardization of robotic right liver mobilization.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jul 18, 2023
BACKGROUND: Since its introduction 2 decades ago, robotics has been increasingly used for resection of benign and malignant liver lesions. The robotic platform seems to preserve minimally invasive approach benefits, overcoming laparoscopy limitations...
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