Artificial Intelligence Medical Compendium

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

Showing 601 to 610 of 6,689 articles

Integrative analysis of multi-omics data and gut microbiota composition reveals prognostic subtypes and predicts immunotherapy response in colorectal cancer using machine learning.

Scientific reports Jul 12, 2025
Colorectal cancer (CRC) exhibits substantial heterogeneity in molecular subtypes and clinical outcomes. We performed an integrative analysis of multi-omics data from 274 CRC patients to investigate the impact of gut microbiota composition on prognosi... read more 
Gastrointestinal Microbiome Immunotherapy Multiomics Middle Aged Aged Colorectal Neoplasms Tumor Microenvironment Male Humans Machine Learning Prognosis Female

Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms.

Scientific reports Jul 12, 2025
Right ventricular dysfunction (RVD) is strongly associated with increased mortality in patients with acute pulmonary embolism (PE), making its early detection crucial. Identifying RVD risk factors rapidly, accurately, and economically within the acut... read more 
Aged Aged, 80 and over Female Risk Factors Pulmonary Embolism Ventricular Dysfunction, Right Male Middle Aged Humans Machine Learning Algorithms Supervised Machine Learning

Neural network based AI model for lung health assessment.

Scientific reports Jul 12, 2025
Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. To aid medical experts in diagnosis, various studies have been conducted using artificial intelligence (AI) compatible devices to analy... read more 
Neural Networks, Computer Artificial Intelligence Humans Lung Diseases Algorithms Respiratory Sounds Lung

Towards energy-efficient joint relay selection and resource allocation for D2D communication using hybrid heuristic-based deep learning.

Scientific reports Jul 12, 2025
Fifth generation (5G) networks are desired to offer improved data rates employed for enhancing innovations of device-to-device (D2D) communication, small base stations densification, and multi-tier heterogeneous networks. In relay-assisted D2D commun... read more 

Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography.

Scientific reports Jul 12, 2025
Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease-including degenerative cervical myelopathy-have a significantly increased risk of fragility fractures. To prevent such fractures in patients with cervical... read more 
Cervical Vertebrae Lumbar Vertebrae Bone Diseases, Metabolic Femur Neck Deep Learning Radiography Middle Aged Humans Sensitivity and Specificity Female Male Aged Algorithms Neural Networks, Computer Osteoporosis

Multimodal deep learning for cephalometric landmark detection and treatment prediction.

Scientific reports Jul 12, 2025
In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome prediction are critical for clinical decision-making. Traditional approaches rely on manual landmark identification, which is time-consuming and subject ... read more 
Cone-Beam Computed Tomography Cephalometry Image Processing, Computer-Assisted Treatment Outcome Anatomic Landmarks Humans Deep Learning

Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset.

Scientific reports Jul 12, 2025
In computer vision, video analytic researchers have been developing techniques for human activity recognition in several application domains. Academic institutions are in possession of rich video repository generated by the surveillance system in res... read more 

ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases.

Scientific reports Jul 11, 2025
The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop l... read more 
Deep Learning Neural Networks, Computer Plant Leaves Image Processing, Computer-Assisted Crops, Agricultural Plant Diseases

A Multi-Scale attention network for building extraction from high-resolution remote sensing images.

Scientific reports Jul 10, 2025
The information in remote sensing images often leads to incomplete building contours and suboptimal adaptability to complex building scenes. To address these issues, we propose a novel multi-scale network with dual attention mechanisms to extract cle... read more 

Aqua-MC as a simple open access code for uncountable runs of AquaCrop.

Scientific reports Jul 10, 2025
Understanding uncertainty in crop modeling is essential for improving prediction accuracy and decision-making in agricultural management. Monte Carlo simulations are widely used for uncertainty and sensitivity analysis, but their application to close... read more 
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