AIMC Topic: Algorithms

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SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling.

Journal of chemical information and modeling Jul 25, 2025
Spectrum large language model (SpeLL) was developed to tackle core challenges in near-infrared (NIR) spectral data modeling─the high level of expertise and substantial workload required by researchers for method selection, implementation, and optimiz...
Algorithms Spectroscopy, Near-Infrared Natural Language Processing
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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study.

Annals of medicine Jul 24, 2025
BACKGROUND: High intraoperative blood pressure variability (HIBPV) is significantly associated with postoperative adverse complications. However, practical tools to characterize perioperative factors associated with HIBPV remain limited. This study a...
Machine Learning Algorithms Retrospective Studies Humans Adult Male Middle Aged Female Aged Young Adult Blood Pressure Surgical Procedures, Operative ROC Curve Hypertension Intraoperative Period Postoperative Complications Monitoring, Intraoperative
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Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment.

Computers in biology and medicine Jul 24, 2025
Coronary artery disease (CAD) remains the leading cause of mortality, creating an urgent need for reproducible, image-based decision support. Although YOLOv8-based detectors underpin much of today's state-of-the-art stenosis detection, their accuracy...
Coronary Artery Disease Humans Algorithms Models, Cardiovascular Coronary Angiography
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DEEP Q-NAS: A new algorithm based on neural architecture search and reinforcement learning for brain tumor identification from MRI.

Computers in biology and medicine Jul 24, 2025
A significant obstacle in brain tumor treatment planning is determining the tumor's actual size. Magnetic resonance imaging (MRI) is one of the first-line brain tumor diagnosis. It takes a lot of effort and mostly depends on the operator's experience...
Humans Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Brain Neoplasms
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms.

Malaria journal Jul 24, 2025
BACKGROUND: Machine learning algorithms have been used to predict malaria risk and severity, identify immunity biomarkers for malaria vaccine candidates, and determine molecular biomarkers of antimalarial drug resistance. Developing these prediction ...
Antimalarials Algorithms Humans Malaria, Falciparum Artemisinins Plasmodium falciparum Machine Learning Drug Resistance Sample Size
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Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study.

European journal of medical research Jul 24, 2025
BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in critically ill patients, marked by symmetrical respiratory and limb muscle weakness, which adversely affects long-term outcomes. Early identification of hi...
Muscle Weakness Risk Assessment Prospective Studies ROC Curve Aged Humans Prognosis Male Machine Learning Critical Illness Middle Aged Intensive Care Units Algorithms Female Risk Factors
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Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases.

Scientific reports Jul 24, 2025
GI diseases are one of the leading causes of morbidity and mortality worldwide, and early and accurate diagnosis is considered to be very important. Traditional methods like endoscopy take time and depend majorly on the judgment of the physician. The...
Deep Learning Image Processing, Computer-Assisted Gastrointestinal Diseases Humans Algorithms
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Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions.

Scientific reports Jul 24, 2025
Education is crucial for the growth of effective life skills and the allocation of needed resources. Higher education institutions are adopting advanced technologies, such as artificial intelligence (AI), to enhance traditional teaching methods. Pred...
Humans Machine Learning Academic Performance Universities Algorithms Decision Making Students Linear Models
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Detection of breast cancer using machine learning and explainable artificial intelligence.

Scientific reports Jul 24, 2025
Breast cancer is characterized by the proliferation of abnormal breast cells that eventually turn into malignant tumors. These cancer cells can metastasize to be life-threatening and fatal. An intricate mix of environmental factors and individual gen...
Breast Neoplasms Middle Aged Aged Adult Humans Machine Learning Artificial Intelligence Algorithms Female
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Machine learning analysis of molecular dynamics properties influencing drug solubility.

Scientific reports Jul 24, 2025
Solubility is critical in drug discovery and development, as it significantly influences a medication's bioavailability and therapeutic efficacy. Understanding solubility at the early stages of drug discovery is essential for minimizing resource cons...
Solubility Algorithms Drug Discovery Water Pharmaceutical Preparations Molecular Dynamics Simulation Machine Learning
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