AIMC Topic: Reproducibility of Results

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Enhanced residual-attention deep neural network for disease classification in maize leaf images.

Scientific reports Aug 12, 2025
Disease classification in maize plant is necessary for immediate treatment to enhance agricultural production and assure global food sustainability. Recent advancements in deep learning, specifically convolutional neural networks, have shown outstand...
Plant Leaves Zea mays Plant Diseases Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study.

JMIR formative research Aug 11, 2025
BACKGROUND: Systematic reviews are essential for synthesizing research in health sciences; however, they are resource-intensive and prone to human error. The data extraction phase, in which key details of studies are identified and recorded in a syst...
Generative Artificial Intelligence Humans Systematic Reviews as Topic Artificial Intelligence Information Storage and Retrieval Reproducibility of Results
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.

Scientific reports Aug 10, 2025
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...
Biometric Identification Biometry Dermatoglyphics Reproducibility of Results Deep Learning Hand Humans Algorithms
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Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related risk patterns.

Cardiovascular diabetology Aug 10, 2025
BACKGROUND: Early detection of vulnerable carotid plaques is critical for stroke prevention. This study aimed to develop a machine learning model based on routine blood tests and derived indices to predict plaque vulnerability and assess sex-specific...
Prognosis Retrospective Studies Female Humans Machine Learning Biomarkers Predictive Value of Tests Male Sex Factors Middle Aged Rupture, Spontaneous Risk Assessment Reproducibility of Results Plaque, Atherosclerotic Risk Factors Carotid Artery Diseases Aged
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Can we trust academic AI detective? Accuracy and limitations of AI-output detectors.

Acta neurochirurgica Aug 7, 2025
OBJECTIVE: This study evaluates the reliability and accuracy of AI-generated text detection tools in distinguishing human-authored academic content from AI-generated texts, highlighting potential challenges and ethical considerations in their applica...
Reproducibility of Results Periodicals as Topic Neurosurgery Plagiarism Humans Artificial Intelligence Authorship
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Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi...
Neuroimaging Humans Machine Learning Reproducibility of Results Models, Statistical
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Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Biomedical physics & engineering express Aug 6, 2025
Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised learning has gradually become a key solution. Most existing methods rely on consistency regularization and pseudo-label generation, often adopting multi-b...
Heart Supervised Machine Learning Humans Algorithms Reproducibility of Results Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Artificial intelligence assisted automated short answer question scoring tool shows high correlation with human examiner markings.

BMC medical education Aug 5, 2025
BACKGROUND: Optimizing the skill of answering Short answer questions (SAQ) in medical undergraduates with personalized feedback is challenging. With the increasing number of students and staff shortages this task is becoming practically difficult. He...
Humans Artificial Intelligence Education, Medical, Undergraduate Formative Feedback Reproducibility of Results Students, Medical Educational Measurement
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Automated ultrasound system ARTHUR V.2.0 with AI analysis DIANA V.2.0 matches expert rheumatologist in hand joint assessment of rheumatoid arthritis patients.

RMD open Aug 5, 2025
OBJECTIVE: To evaluate the agreement and repeatability of an automated robotic ultrasound system (ARTHUR V.2.0) combined with an AI model (DIANA V.2.0) in assessing synovial hypertrophy (SH) and Doppler activity in rheumatoid arthritis (RA) patients,...
Middle Aged Severity of Illness Index Humans Ultrasonography Rheumatologists Artificial Intelligence Aged Arthritis, Rheumatoid Hand Joints Female Adult Robotics Reproducibility of Results Male Ultrasonography, Doppler
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Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines.

BMC medical imaging Aug 4, 2025
BACKGROUND: As an important branch of machine learning pipelines in medical imaging, radiomics faces two major challenges namely reproducibility and accessibility. In this work, we introduce open-radiomics, a set of radiomics datasets along with a co...
Datasets as Topic Radiomics Female Middle Aged Brain Neoplasms Reproducibility of Results Carcinoma, Non-Small-Cell Lung Humans Lung Neoplasms Male Adult Machine Learning Magnetic Resonance Imaging Glioma Survival Analysis
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