AIMC Topic: Databases, Factual

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Real-Time Epileptic Seizure Prediction Method With Spatio-Temporal Information Transfer Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures remains a challenge in clinical practice due to the high computational cost, poor real-time performance, and over-reliance on labelled data. To addres...
Epilepsy Seizures Signal Processing, Computer-Assisted Adult Humans Male Databases, Factual Electroencephalography Neural Networks, Computer Female Machine Learning Young Adult
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A Lightweight Deep Convolutional Neural Network Extracting Local and Global Contextual Features for the Classification of Alzheimer's Disease Using Structural MRI.

IEEE journal of biomedical and health informatics Mar 6, 2025
Recent advancements in the classification of Alzheimer's disease have leveraged the automatic feature generation capability of convolutional neural networks (CNNs) using neuroimaging biomarkers. However, most of the existing CNN-based methods often d...
Humans Neural Networks, Computer Databases, Factual Neuroimaging Magnetic Resonance Imaging Brain Alzheimer Disease Deep Learning Image Interpretation, Computer-Assisted Convolutional Neural Networks
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LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Mar 6, 2025
The performance of modern U-shaped neural networks for medical image segmentation has been significantly enhanced by incorporating Transformer layers. Although Transformer architectures are powerful at extracting global information, its ability to ca...
Magnetic Resonance Imaging Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Algorithms Databases, Factual
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DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the development of technology and large-scale biological databases, computational drug repositioning has increasingly attracted...
Humans Databases, Factual Computational Biology Drug Repositioning Semantics Neural Networks, Computer Machine Learning Algorithms
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Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning.

IEEE journal of biomedical and health informatics Mar 6, 2025
The traditional drug development process requires a significant investment in workforce and financial resources. Drug repositioning as an efficient alternative has attracted much attention during the last few years. Despite the wide application and s...
Semantics Databases, Factual Deep Learning Humans Drug Repositioning Machine Learning Algorithms
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Rethinking model prototyping through the MedMNIST+ dataset collection.

Scientific reports Mar 5, 2025
The integration of deep learning based systems in clinical practice is often impeded by challenges rooted in limited and heterogeneous medical datasets. In addition, the field has increasingly prioritized marginal performance gains on a few, narrowly...
Datasets as Topic Humans Databases, Factual Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Male Middle Aged Risk Assessment Female Risk Factors Liver Neoplasms Humans Predictive Value of Tests Decision Support Techniques Aged Carcinoma, Hepatocellular Tumor Burden Minimally Invasive Surgical Procedures Machine Learning Databases, Factual Hepatectomy Retrospective Studies Treatment Outcome
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Interpretable machine learning unveils key predictors and default values in an expanded database of human in vitro dermal absorption studies with pesticides.

Regulatory toxicology and pharmacology : RTP Mar 4, 2025
The skin is the main route of exposure to plant protection products for operators, workers, residents, and bystanders. Assessing dermal absorption is key for evaluating pesticide exposure. The initial approach to risk assessment involves using defaul...
Skin Pesticides Risk Assessment Humans Skin Absorption Machine Learning In Vitro Techniques Bayes Theorem Databases, Factual
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Enhancing Blood-Brain Barrier Penetration Prediction by Machine Learning-Based Integration of Novel and Existing, In Silico and Experimental Molecular Parameters from a Standardized Database.

Journal of chemical information and modeling Mar 4, 2025
Predicting blood-brain barrier (BBB) penetration is crucial for developing central nervous system (CNS) drugs, representing a significant hurdle in successful clinical phase I studies. One of the most valuable properties for this prediction is the po...
Humans Machine Learning Databases, Factual Biological Transport Computer Simulation Blood-Brain Barrier
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Blood Vessel Prosthesis Implantation Endovascular Procedures Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Thoracic Risk Factors Aged Aged, 80 and over Male Risk Assessment Postoperative Complications Databases, Factual Retrospective Studies Female Humans Machine Learning
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