AIMC Topic: Reproducibility of Results

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The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.

Medical ultrasonography Sep 4, 2024
AIMS: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists with different experiences....
Image Interpretation, Computer-Assisted Female Reproducibility of Results Adult Sensitivity and Specificity Male Humans Middle Aged Thyroid Neoplasms Deep Learning Ultrasonography Clinical Competence Thyroid Nodule Thyroid Gland Diagnosis, Differential
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Artificial intelligence can help detecting incidental intracranial aneurysm on routine brain MRI using TOF MRA data sets and improve the time required for analysis of these images.

Neuroradiology Sep 4, 2024
PURPOSE: The aim of our study was to assess the diagnostic performance of commercially available AI software for intracranial aneurysm detection and to determine if the AI system enhances the radiologist's accuracy in identifying aneurysms and reduce...
Humans Artificial Intelligence Software Aged Aged, 80 and over Adult Female Reproducibility of Results Sensitivity and Specificity Male Image Interpretation, Computer-Assisted Middle Aged Magnetic Resonance Imaging Magnetic Resonance Angiography Intracranial Aneurysm Incidental Findings
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Volume Measurements for Surveillance after Endovascular Aneurysm Repair using Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Sep 3, 2024
OBJECTIVE: Surveillance after endovascular aneurysm repair (EVAR) is suboptimal due to limited compliance and relatively large variability in measurement methods of abdominal aortic aneurysm (AAA) sac size after treatment. Measuring volume offers a m...
Aortography Endovascular Aneurysm Repair Male Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Female Humans Blood Vessel Prosthesis Implantation Reproducibility of Results Artificial Intelligence Endovascular Procedures Aged Software Computed Tomography Angiography Aged, 80 and over Retrospective Studies
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m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications.

Computers in biology and medicine Sep 3, 2024
Epigenetic modifications, particularly RNA methylation and histone alterations, play a crucial role in heredity, development, and disease. Among these, RNA 5-methylcytosine (m5C) is the most prevalent RNA modification in mammalian cells, essential fo...
Algorithms Reproducibility of Results Animals Databases, Genetic Humans Machine Learning RNA Species Specificity 5-Methylcytosine
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An Explainable Graph Neural Framework to Identify Cancer-Associated Intratumoral Microbial Communities.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 3, 2024
Microbes are extensively present among various cancer tissues and play critical roles in carcinogenesis and treatment responses. However, the underlying relationships between intratumoral microbes and tumors remain poorly understood. Here, a MIcrobia...
Microbiota Animals Humans Neoplasms Neural Networks, Computer Mice Reproducibility of Results Disease Models, Animal
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Leveraging Supervised Machine Learning Algorithms for System Suitability Testing of Mass Spectrometry Imaging Platforms.

Journal of proteome research Sep 3, 2024
Quality control and system suitability testing are vital protocols implemented to ensure the repeatability and reproducibility of data in mass spectrometry investigations. However, mass spectrometry imaging (MSI) analyses present added complexity sin...
Humans Algorithms Reproducibility of Results Mass Spectrometry Supervised Machine Learning Quality Control
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Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.

Cardiovascular diabetology Sep 3, 2024
BACKGROUND: The aim of this study (EPIDIAB) was to assess the relationship between epicardial adipose tissue (EAT) and the micro and macrovascular complications (MVC) of type 2 diabetes (T2D).
Automation Diabetic Angiopathies Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Adiposity Deep Learning Diabetes Mellitus, Type 2 Adipose Tissue Predictive Value of Tests Humans Prognosis Female Reproducibility of Results Male Middle Aged Risk Assessment Risk Factors Aged
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Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer.

Scientific reports Sep 3, 2024
Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transitions (LSTs), defined as chromosomal breakages leading to gains or losses of at least 10 Mb, have recently emerged as a metric of CIN due to their stan...
DNA Copy Number Variations Area Under Curve Neoplastic Cells, Circulating Whole Genome Sequencing Reproducibility of Results Cell Line, Tumor Triple Negative Breast Neoplasms Cell Proliferation Feasibility Studies DNA Repair Predictive Learning Models Chromosomal Instability Humans Machine Learning Female
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Fuzzy lattices assisted EJAYA Q-learning for automated pulmonary diseases classification.

Biomedical physics & engineering express Sep 3, 2024
This work proposes a novel technique called Enhanced JAYA (EJAYA) assisted Q-Learning for the classification of pulmonary diseases, such as pneumonia and tuberculosis (TB) sub-classes using chest x-ray images. The work introduces Fuzzy lattices forma...
Humans Image Processing, Computer-Assisted Fuzzy Logic Pneumonia Lung Diseases Tuberculosis Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity
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A retrospective evaluation of the potential of ChatGPT in the accurate diagnosis of acute stroke.

Diagnostic and interventional radiology (Ankara, Turkey) Sep 2, 2024
PURPOSE: Stroke is a neurological emergency requiring rapid, accurate diagnosis to prevent severe consequences. Early diagnosis is crucial for reducing morbidity and mortality. Artificial intelligence (AI) diagnosis support tools, such as Chat Genera...
Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Sensitivity and Specificity Male Humans Middle Aged Artificial Intelligence Generative Artificial Intelligence Retrospective Studies Aged Aged, 80 and over Adult Female Reproducibility of Results
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