AIMC Topic: Reproducibility of Results

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Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography.

Optometry and vision science : official publication of the American Academy of Optometry Jan 13, 2025
SIGNIFICANCE: Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analy...
Diagnostic Techniques, Ophthalmological Meibomian Glands Meibomian Gland Dysfunction Neural Networks, Computer Algorithms Reproducibility of Results Convolutional Neural Networks Humans
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Assessing ChatGPT's accuracy and reliability in asthma general knowledge: implications for artificial intelligence use in public health education.

The Journal of asthma : official journal of the Association for the Care of Asthma Jan 11, 2025
BACKGROUND: Integrating Artificial Intelligence (AI) into public health education represents a pivotal advancement in medical knowledge dissemination, particularly for chronic diseases such as asthma. This study assesses the accuracy and comprehensiv...
Humans Artificial Intelligence Female Reproducibility of Results Public Health Surveys and Questionnaires Generative Artificial Intelligence Health Knowledge, Attitudes, Practice Health Education Adult Asthma Male Middle Aged
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Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases.

Magma (New York, N.Y.) Jan 11, 2025
OBJECTIVE: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness...
Humans Neural Networks, Computer Algorithms Databases, Factual Thigh Image Processing, Computer-Assisted Female Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Adult Reproducibility of Results Neuromuscular Diseases Muscle, Skeletal Male Aged Adipose Tissue Middle Aged Deep Learning
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Middle Aged Female Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Severity of Illness Index Humans Aged Coronary Artery Disease Predictive Value of Tests Coronary Stenosis Male Observer Variation Artificial Intelligence Coronary Angiography Coronary Vessels Algorithms Retrospective Studies
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End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Open heart Jan 11, 2025
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ...
Coronary Stenosis Female Reproducibility of Results Humans Coronary Angiography Middle Aged Aged Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Male Coronary Vessels Deep Learning Computed Tomography Angiography Predictive Value of Tests
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Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms.

International dental journal Jan 10, 2025
The integration of artificial intelligence (AI) into dental imaging has led to significant advancements, particularly in the analysis of panoramic radiographs, also known as orthopantomograms (OPGs). One emerging application of AI is in determining g...
Sex Determination Analysis Female Reproducibility of Results Male Radiography, Panoramic Humans Artificial Intelligence Algorithms
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Semi-Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data.

Journal of magnetic resonance imaging : JMRI Jan 10, 2025
BACKGROUND: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation ...
Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Supervised Machine Learning Algorithms Brain Retrospective Studies Female Reproducibility of Results Brain Neoplasms Male Middle Aged Humans
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Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study.

European radiology Jan 10, 2025
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagno...
Humans Retrospective Studies Female Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Reproducibility of Results Aged Male Middle Aged Observer Variation Computed Tomography Angiography Coronary Stenosis
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Challenges of reproducible AI in biomedical data science.

BMC medical genomics Jan 10, 2025
Artificial intelligence (AI) is revolutionizing biomedical data science at an unprecedented pace, transforming various aspects of the field with remarkable speed and depth. However, a critical issue remains unclear: how reproducible are the AI models...
Humans Biomedical Research Data Science Artificial Intelligence Reproducibility of Results
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Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Male Retrospective Studies Automation Middle Aged Female Predictive Value of Tests Severity of Illness Index Humans Reproducibility of Results Coronary Vessels Coronary Angiography Deep Learning Aged Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Fractional Flow Reserve, Myocardial Coronary Artery Disease
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