Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 471 to 480 of 158,332 articles

Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network.

Scientific reports Jul 9, 2025
The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. The Xception-NN model, which is a modif...
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Assessment of a Deep Learning Model Trained on Permanent Pathology for the Classification of Squamous Cell Carcinoma in Mohs Frozen Sections: Lessons Learned.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Jul 9, 2025
BACKGROUND: There is a scarcity of artificial intelligence models trained on frozen pathology. One way to expand the clinical utility of models trained on permanent pathology is by applying them to frozen sections and fine-tune based on weaknesses.
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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key contributors to JIA risk prediction.

RMD open Jul 9, 2025
BACKGROUND: Previous genome-wide association studies (GWAS) have identified numerous genetic loci associated with juvenile idiopathic arthritis (JIA). However, the functional impact of these variants-particularly on tissue-specific gene expression-an...
Arthritis, Juvenile Signal Transduction Antigen Presentation Quantitative Trait Loci Polymorphism, Single Nucleotide Genotype Genetic Predisposition to Disease Humans Cytokines Gene Regulatory Networks Machine Learning Genome-Wide Association Study
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Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models.

Journal of medical systems Jul 9, 2025
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electrocardiogram (ECG) and photoplethysmography (PPG), from two distinct body sites to compute metrics like pulse transit time (PTT) ...
Deep Learning Photoplethysmography Humans Blood Pressure Pulse Wave Analysis Blood Pressure Determination Electrocardiography Signal Processing, Computer-Assisted
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Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.

Radiology. Artificial intelligence Jul 9, 2025
Purpose To improve the generalizability of pathologic complete response (pCR) prediction following neoadjuvant chemotherapy using deep learning (DL)-based retrospective pharmacokinetic quantification (RoQ) of early-treatment dynamic contrast-enhance...
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Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.

Aging clinical and experimental research Jul 9, 2025
BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having obesity or sarcopenia alone due to the dual burden of both muscle loss and fat gain. The prevalence of SO is progressively increasing as the population ...
Middle Aged Prevalence Male Sarcopenia Female Internet Algorithms Humans Obesity Aged Risk Factors Nutrition Surveys Machine Learning
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Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos.

Medical & biological engineering & computing Jul 9, 2025
Concussions present a significant risk to athletes, with females exhibiting higher rates and prolonged recovery times than males. Current sideline concussion detection methods, such as the King-Devick test commonly used as a rapid screening tool desi...
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Can patient-reported data improve predictions about who will be a high-need, high-cost patient in British Columbia?

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation Jul 9, 2025
PURPOSE: Improving the outcomes for high-need, high-cost (HNHC) patients requires accurately predicting who will become an HNHC patient. The objectives of this study are to: (1) develop models to predict individuals at risk of becoming future HNHC pa...
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GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning

arXiv Jul 9, 2025
Microscopic assessment of histopathology images is vital for accurate cancer diagnosis and treatment. Whole Slide Image (WSI) classification and captioning have become crucial tasks in computer-aided pathology. However, microscopic WSI face challen...
Computer Vision and Pattern Recognition Machine Learning
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Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings.

BMC medical informatics and decision making Jul 9, 2025
BACKGROUND: Device-related pressure injury (DRPI) is a prevalent and severe problem for patients using medical devices. Timely identification of patients at high risk of DRPI is crucial for healthcare providers to make informed decisions and prevent ...
Adult Aged Middle Aged Male Machine Learning Female Humans Pressure Ulcer Equipment and Supplies
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