AIMC Topic: Algorithms

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D2C-Morph: Brain regional segmentation based on unsupervised registration network with similarity analysis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 30, 2025
Brain regional segmentation is an image-processing approach widely used in brain image analyses. Deep learning models that perform segmentation alone play an important role in medical fields such as automatic diagnosis and prognosis prediction. This ...
Magnetic Resonance Imaging Brain Unsupervised Machine Learning Deep Learning Humans Image Processing, Computer-Assisted Algorithms
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Empowering heart attack treatment for women through machine learning and optimization techniques.

Computers in biology and medicine Jun 30, 2025
Heart attack detection and treatment in women remain significantly under-optimized due to differences in symptom presentation and physiological characteristics compared to men, leading to delayed or incorrect diagnoses. Addressing this gap, this stud...
Middle Aged Myocardial Infarction Humans Female Machine Learning Aged Algorithms
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U-Net-based architecture with attention mechanisms and Bayesian Optimization for brain tumor segmentation using MR images.

Computers in biology and medicine Jun 30, 2025
As technological innovation in computers has advanced, radiologists may now diagnose brain tumors (BT) with the use of artificial intelligence (AI). In the medical field, early disease identification enables further therapies, where the use of AI sys...
Humans Magnetic Resonance Imaging Bayes Theorem Image Interpretation, Computer-Assisted Algorithms Brain Neoplasms Deep Learning
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Enhanced deep learning framework for real-time instrument detection and tracking in laparoscopic surgery using advanced augmentation and tracking techniques.

Surgical endoscopy Jun 30, 2025
BACKGROUND: Accurate tracking and enumeration of surgical instruments are critical for patient safety and operational efficiency in laparoscopic procedures. Advanced tracking systems enhance object detection by maintaining instrument identity despite...
Humans Laparoscopy Workflow Surgical Instruments Algorithms Patient Safety Deep Learning
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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

JMIR medical informatics Jun 30, 2025
BACKGROUND: Evidence-based medicine combines scientific research, clinical expertise, and patient preferences to enhance the patient outcomes and improve health care quality. Clinical data are crucial in aligning medical decisions with evidence-based...
Data Accuracy Metadata Humans Artificial Intelligence Machine Learning Algorithms Reproducibility of Results
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Revisiting Euclidean alignment for transfer learning in EEG-based brain-computer interfaces.

Journal of neural engineering Jun 30, 2025
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, which is tim...
Brain-Computer Interfaces Transfer, Psychology Humans Algorithms Machine Learning Electroencephalography
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PloS one Jun 30, 2025
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...
Bayes Theorem Humans Commerce Internet Machine Learning Support Vector Machine Consumer Behavior Algorithms Decision Making
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism.

PloS one Jun 30, 2025
Predicting student performance is crucial for providing personalized support and enhancing academic performance. Advanced machine-learning approaches are being used to understand student performance variables as educational data grows. A big dataset ...
Academic Success Algorithms China Academic Performance Students Convolutional Neural Networks Humans Machine Learning
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Interpretable machine learning for predicting isolated basal septal hypertrophy.

PloS one Jun 30, 2025
BACKGROUND: The basal septal hypertrophy(BSH) is an often under-recognized morphological change in the left ventricle. This is a common echocardiographic finding with a prevalence of approximately 7-20%, which may indicate early structural and functi...
Algorithms Female Aged Aged, 80 and over Male Humans Machine Learning Ventricular Septum Echocardiography Heart Septum ROC Curve
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Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account.

PloS one Jun 30, 2025
BACKGROUND: Rare diseases often present with a variety of clinical symptoms and therefore are challenging to diagnose. Fabry disease is an x-linked rare metabolic disorder. The severity of symptoms is usually different in men and women. Since therape...
Sex Factors Rare Diseases Fabry Disease Surveys and Questionnaires ROC Curve Data Mining Middle Aged Quality of Life Artificial Intelligence Algorithms Female Aged Adult Male Humans
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