Artificial Intelligence Medical Compendium

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

Showing 16,851 to 16,860 of 213,633 articles

Diverse image generation with diffusion models and cross class label learning for polyp classification.

Scientific reports May 18, 2026
Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing with colorectal cancer (CRC). Colonic polyps, precursors to CRC, can pathologically be classified into two major types: adenomatous (malignant potential)... read more 

Learning from sanctioned government suppliers: a machine learning and network science approach to detecting fraud and corruption in Mexico.

Scientific reports May 18, 2026
Detecting fraud and corruption in public procurement remains a major challenge for governments worldwide. Most research to-date builds on domain-knowledge-based corruption risk indicators of individual contract-level features and some also analyses c... read more 

Deep learning-based identification of N6-methyladenine sites via hybrid feature fusion and SHAP-driven feature selection.

Scientific reports May 18, 2026
N6-methyladenine (6 mA) is a critical epigenetic modification involved in gene regulation, genome stability, and cellular adaptation. Accurate computational identification of 6 mA sites is essential for elucidating epigenetic mechanisms and advancing... read more 

Integrated experimental design and machine learning framework for predicting UV influenced mechanical properties in polyurethane nanodiamond nanocomposites.

Scientific reports May 18, 2026
This study investigates the influence of ultraviolet (UV) irradiation on the mechanical performance of nanodiamond (ND) reinforced polyurethane (PU) nanocomposites. The Taguchi method was employed to systematically design the experiments, while analy... read more 

IBNN: an integrated BERT-neural network framework for sentiment and emotion based text analysis.

Scientific reports May 18, 2026
Social networks are experiencing an unprecedented surge in demand for text mining applications. Text analysis, particularly on online platforms, has become increasingly prevalent. With the rapid growth of social media, enormous volumes of text data, ... read more 

A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification.

Scientific reports May 18, 2026
Skin cancer is one of the most prevalent and potentially life-threatening cancers globally, making it a critical area of focus in medical research. Early detection, followed by timely and appropriate treatment, can significantly enhance patient survi... read more 

Evaluating model robustness in landslide susceptibility mapping using a unified data-consistent framework in northern Thailand.

Scientific reports May 18, 2026
Landslide susceptibility mapping (LSM) is a critical tool for hazard mitigation in mountainous regions. However, the reliability of existing models remains uncertain due to inconsistencies in data quality, sampling strategies, and validation approach... read more 

Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation.

Scientific reports May 18, 2026
This paper explores the use of optimized convolutional neural networks (CNNs) to classify diseases affecting potato leaves using TensorFlow-2. The dataset, sourced from Kaggle's Plant Village repository, includes 152 images of healthy potato leaves a... read more 

Automatic computation of breast cancer biomarkers from multiple [Formula: see text] F-FDG PET image segmentation.

Scientific reports May 18, 2026
Neoadjuvant chemotherapy is a standard clinical practice for tumor downsizing in breast cancer, with [Formula: see text]F-FDG Positron Emission Tomography (PET) being an essential tool for predicting complete pathological response and monitoring trea... read more 

Precision detection of miniature dam cracks with a multi-scale enhanced YOLO framework for UAV inspection.

Scientific reports May 18, 2026
Accurate detection of dam cracks from Unmanned Aerial Vehicle (UAV) imagery is crucial for structural health monitoring. However, prevailing methods face significant challenges in achieving a balance between the precise identification of minuscule cr... read more 
Popular Topics
Recent Journals