AIMC Topic: Reproducibility of Results

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Development and Validation of the Novel Exergame-Integrated Robotic Stepper Device for Seated Lower Limb Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 5, 2025
Seated rehabilitation is essential in early-stage recovery for patients who can sit but cannot stand or walk. Robotic-based lower limb rehabilitation provides precise, task-specific training for recovery, but its application in seated exercises remai...
Robotics Stroke Rehabilitation Adult Equipment Design Biomechanical Phenomena Exercise Therapy Male Healthy Volunteers Lower Extremity Humans Range of Motion, Articular Female Sitting Position Reproducibility of Results Exoskeleton Device Young Adult Video Games
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Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers.

Journal of Alzheimer's disease : JAD May 4, 2025
BackgroundDancing may be protective for cognitive health among adults with mild cognitive impairment, Alzheimer's disease or dementia; however, additional methods are needed to characterize motor behavior quality in studies of dance.ObjectiveTo deter...
Aged Adult Male Middle Aged Humans Female Reproducibility of Results Memory, Short-Term Accelerometry Dancing Memory, Long-Term
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Probabilistic design space exploration and optimization via bayesian approach for a fluid bed drying process.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences May 3, 2025
The concept of Design Space (DS), delineated as a region of investigated variables aimed at maintaining product quality, was introduced in the International Conference on Harmonisation (ICH) Q8 as a framework to direct pharmaceutical development. How...
Bayes Theorem Technology, Pharmaceutical Desiccation Uncertainty Reproducibility of Results Models, Statistical
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Automatic ultrasound image alignment for diagnosis of pediatric distal forearm fractures.

International journal of computer assisted radiology and surgery May 2, 2025
PURPOSE: The study aims to develop an automatic method to align ultrasound images of the distal forearm for diagnosing pediatric fractures. This approach seeks to bypass the reliance on X-rays for fracture diagnosis, thereby minimizing radiation expo...
Humans Female Reproducibility of Results Male Radius Fractures Deep Learning Ulna Fractures Child, Preschool Forearm Injuries Child Wrist Fractures Ultrasonography
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Accuracy of an nnUNet Neural Network for the Automatic Segmentation of Intracranial Aneurysms, Their Parent Vessels, and Major Cerebral Arteries from MRI-TOF.

AJNR. American journal of neuroradiology May 2, 2025
BACKGROUND AND PURPOSE: The automatic recognition of intracraial aneurysms by means of machine-learning algorithms represents a new frontier for diagnostic and therapeutic goals. Yet, the current algorithms focus solely on the aneurysms and not on th...
Humans Neural Networks, Computer Algorithms Retrospective Studies Female Reproducibility of Results Magnetic Resonance Angiography Aged Sensitivity and Specificity Intracranial Aneurysm Adult Male Cerebral Arteries Middle Aged Image Interpretation, Computer-Assisted
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Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

IEEE transactions on neural networks and learning systems May 2, 2025
Segmentation of complex medical images such as vascular network and pulmonary tracheal network requires segmentation of many tiny targets on each tomographic section of the 3-D medical image volume. Although semantic segmentation of medical images ba...
Supervised Machine Learning Reproducibility of Results Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

Journal of thoracic imaging May 1, 2025
PURPOSE: This study was designed to construct progressive binary classification models based on radiomics and deep learning to predict the presence of epidermal growth factor receptor ( EGFR ) and TP53 mutations and to assess the models' capacities t...
Adenocarcinoma of Lung Lung Neoplasms Mutation Tumor Suppressor Protein p53 ErbB Receptors Male Middle Aged Lung Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Adult Sensitivity and Specificity Radiomics Humans
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Self-supervised learning for label-free segmentation in cardiac ultrasound.

Nature communications Apr 30, 2025
Segmentation and measurement of cardiac chambers from ultrasound is critical, but laborious and poorly reproducible. Neural networks can assist, but supervised approaches require the same problematic manual annotations. We build a pipeline for self-s...
Supervised Machine Learning Humans Reproducibility of Results Neural Networks, Computer Image Processing, Computer-Assisted Male Female Magnetic Resonance Imaging Echocardiography Heart Deep Learning Heart Ventricles
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Dental Students' Opinions on Use of Artificial Intelligence: A Survey Study.

Medical science monitor : international medical journal of experimental and clinical research Apr 30, 2025
BACKGROUND The use of artificial intelligence (AI) in dentistry has been increasing, leading to significant changes in diagnosis, treatment planning, and patient management. However, research on dental students' awareness, acceptance, and professiona...
Surveys and Questionnaires Attitude of Health Personnel Education, Dental Students, Dental Reproducibility of Results Young Adult Adult Male Humans Artificial Intelligence Female
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Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

European journal of radiology Apr 29, 2025
This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 R...
Contrast Media Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Sensitivity and Specificity Radiomics Male Middle Aged Carcinoma, Renal Cell Boosting Machine Learning Algorithms Humans Machine Learning Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Adult
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