AI Medical Compendium Topic:
Reproducibility of Results

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Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort.

Journal of cardiovascular computed tomography Mar 28, 2024
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation Coronary Vessels Deep Learning Predictive Value of Tests Coronary Angiography Retrospective Studies Humans Plaque, Atherosclerotic Female Computed Tomography Angiography Middle Aged Reproducibility of Results Coronary Stenosis Severity of Illness Index Aged Male
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Deep Learning-Derived Myocardial Strain.

JACC. Cardiovascular imaging Mar 27, 2024
BACKGROUND: Echocardiographic strain measurements require extensive operator experience and have significant intervendor variability. Creating an automated, open-source, vendor-agnostic method to retrospectively measure global longitudinal strain (GL...
Deep Learning Predictive Value of Tests Image Interpretation, Computer-Assisted Myocardial Contraction Humans Observer Variation Retrospective Studies Automation Female Ventricular Function, Left Reproducibility of Results Aged Echocardiography Middle Aged Biomechanical Phenomena Male
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GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides.

Scientific reports Mar 26, 2024
Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is challenging. Previous methods are not robust and accurate. In this study,...
Deep Learning Mice Rats Nucleotides MicroRNAs Humans Area Under Curve Reproducibility of Results Animals
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A paradigm shift?-On the ethics of medical large language models.

Bioethics Mar 25, 2024
After a wave of breakthroughs in image-based medical diagnostics and risk prediction models, machine learning (ML) has turned into a normal science. However, prominent researchers are claiming that another paradigm shift in medical ML is imminent-due...
Humans Machine Learning Reproducibility of Results Personal Autonomy Privacy Trust Ethics, Medical
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Landet: an efficient physics-informed deep learning approach for automatic detection of anatomical landmarks and measurement of spinopelvic alignment.

Journal of orthopaedic surgery and research Mar 25, 2024
PURPOSE: An efficient physics-informed deep learning approach for extracting spinopelvic measures from X-ray images is introduced and its performance is evaluated against manual annotations.
Lumbar Vertebrae Lordosis Sacrum Reproducibility of Results Deep Learning Pelvis Humans
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Within-Session Reliability of fNIRS in Robot-Assisted Upper-Limb Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 25, 2024
Functional near-infrared spectroscopy (fNIRS) seems opportune for neurofeedback in robot-assisted rehabilitation training due to its noninvasive, less physical restriction, and no electromagnetic disturbance. Previous research has proved the cross-se...
Robotics Humans Upper Extremity Reproducibility of Results Spectroscopy, Near-Infrared
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Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 24, 2024
BACKGROUND: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images ...
Reproducibility of Results Aged Male Middle Aged Humans Databases, Factual Female Predictive Value of Tests Myocardium Heart Diseases Image Interpretation, Computer-Assisted Deep Learning Contrast Media Magnetic Resonance Imaging Quality Assurance, Health Care Observer Variation Magnetic Resonance Imaging, Cine
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A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 22, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) is an important imaging modality for the assessment and management of adult patients with congenital heart disease (CHD). However, conventional techniques for three-dimensional (3D) whole-heart acqu...
Magnetic Resonance Imaging, Cine Predictive Value of Tests Image Interpretation, Computer-Assisted Heart Defects, Congenital Young Adult Humans Imaging, Three-Dimensional Adult Female Magnetic Resonance Imaging Reproducibility of Results Male Deep Learning Time Factors
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Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation.

Brain research Mar 20, 2024
Schizophrenia is a profound and enduring mental disorder that imposes significant negative impacts on individuals, their families, and society at large. The development of more accurate and objective diagnostic tools for schizophrenia can be expedite...
Humans Brain Female Middle Aged Deep Learning Magnetic Resonance Imaging Schizophrenia Reproducibility of Results Adult Male
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Distribution-free Bayesian regularized learning framework for semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2024
In machine learning it is often necessary to assume or know the distribution of the data, however it is difficult to do so in practical applications. Aiming to this problem, this work, we propose a novel distribution-free Bayesian regularized learnin...
Machine Learning Supervised Machine Learning Algorithms Reproducibility of Results Bayes Theorem
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