AIMC Topic: Reproducibility of Results

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From code sharing to sharing of implementations: Advancing reproducible AI development for medical imaging through federated testing.

Journal of medical imaging and radiation sciences Aug 29, 2024
BACKGROUND: The reproducibility crisis in AI research remains a significant concern. While code sharing has been acknowledged as a step toward addressing this issue, our focus extends beyond this paradigm. In this work, we explore "federated testing"...
Reproducibility of Results Image Processing, Computer-Assisted Diagnostic Imaging Information Dissemination Humans Artificial Intelligence Software
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SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data.

Magma (New York, N.Y.) Aug 29, 2024
OBJECTIVE: Despite the prevalent use of the general linear model (GLM) in fMRI data analysis, assuming a pre-defined hemodynamic response function (HRF) for all voxels can lead to reduced reliability and may distort the inferences derived from it. To...
Adult Male Hemodynamics ROC Curve Brain Female Reproducibility of Results Linear Models Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Neural Networks, Computer Algorithms
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Assessment of inter-rater and intra-rater reliability of the Luna EMG robot as a tool for assessing upper limb proprioception in patients with stroke-a prospective observational study.

PeerJ Aug 29, 2024
BACKGROUND: The aim of the study was to assess the inter-rater and intra-rater agreement of measurements performed with the Luna EMG (electromyography) multifunctional robot, a tool for evaluation of upper limb proprioception in individuals with stro...
Middle Aged Reproducibility of Results Proprioception Stroke Robotics Humans Aged Prospective Studies Observer Variation Adult Female Male Upper Extremity Stroke Rehabilitation Electromyography
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Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment.

Investigative radiology Aug 28, 2024
OBJECTIVES: The aim of this study was to evaluate the use of a multicontrast deep learning (DL)-reconstructed 4-fold accelerated 2-dimensional (2D) turbo spin echo (TSE) protocol and the feasibility of 3-dimensional (3D) superresolution reconstructio...
Female Reproducibility of Results Magnetic Resonance Imaging Aged Knee Joint Adult Feasibility Studies Image Interpretation, Computer-Assisted Male Humans Prospective Studies Middle Aged Deep Learning Imaging, Three-Dimensional
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Discrepancies in ASPECTS obtained by artificial intelligence and experts: Associated factors and prognostic implications.

European journal of radiology Aug 28, 2024
PURPOSE: The differences between the Alberta Stroke Program Early CT Score (ASPECTS) obtained by experts and artificial intelligence (AI) software require elucidation. We aimed to characterize the discrepancies between the ASPECTS obtained by AI and ...
Prognosis Middle Aged Reproducibility of Results Humans Cohort Studies Retrospective Studies Aged Artificial Intelligence Ischemic Stroke Tomography, X-Ray Computed Male Stroke Female
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The simplification of the symptom Checklist-90 scale utilizing machine learning techniques.

Journal of affective disorders Aug 28, 2024
The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges due to its extensive nature. Streamlining the SCL-90 is essential in order to enhance its practicality without compromising its broad applicability acr...
Humans Machine Learning Psychiatric Status Rating Scales Psychometrics Young Adult Adolescent Algorithms Adult Checklist Sensitivity and Specificity Female Male Reproducibility of Results
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DepressionEmo: A novel dataset for multilabel classification of depression emotions.

Journal of affective disorders Aug 28, 2024
Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of negative emotional states has been correlated with negative outcomes for mental health, necessitating...
Datasets as Topic Deep Learning Humans Depression Emotions Machine Learning Reproducibility of Results
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Beyond accuracy: Reproducibility must lead AI advances in radiology.

European journal of radiology Aug 28, 2024
Radiology Image Interpretation, Computer-Assisted Humans Artificial Intelligence Reproducibility of Results
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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

The international journal of cardiovascular imaging Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Humans Algorithms Retrospective Studies Deep Learning Incidental Findings Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Pulmonary Embolism Computed Tomography Angiography Pulmonary Artery Aged, 80 and over Adult Male Middle Aged Female Reproducibility of Results Aged
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Schizophrenia diagnosis using the GRU-layer's alpha-EEG rhythm's dependability.

Psychiatry research. Neuroimaging Aug 28, 2024
Verifying schizophrenia (SZ) can be assisted by deep learning techniques and patterns in brain activity observed in alpha-EEG recordings. The suggested research provides evidence of the reliability of alpha-EEG rhythm in a Gated-Recurrent-Unit-based ...
Reproducibility of Results Deep Learning Electroencephalography Schizophrenia Alpha Rhythm Humans Neural Networks, Computer
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