Artificial Intelligence Medical Compendium

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

Showing 60,361 to 60,370 of 228,072 articles

Integrating artificial intelligence to enhance inclusive education for students with special needs in Jordan and the UAE: Perspectives of teachers and parents.

Acta psychologica
This study examines the potential of integrating artificial intelligence (AI) into inclusive education practices in Jordan and the UAE, focusing on the perceptions of teachers and parents regarding its role in promoting inclusive classrooms. A mixed-... read more 

Deformable Point Cloud Registration-Based Bidirectional Local Distance (DPCR-BLD): A Methodology for Systematic Evaluation and Visualization of Local Disagreements in Clinical Autocontouring.

International journal of radiation oncology, biology, physics
PURPOSE: Variability in autosegmentation can arise from the training data, leading to disagreements with clinical practice. The anisotropic and localized nature of disagreements between 2 contours makes them challenging to evaluate using common metri... read more 

OLink proteomic biomarker to predict clinical efficacy of Macaranga sinensis Müll.Arg: A nested case-control study.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time, their clinical application is challenged by unclear active ingredients and poorly understood mechanisms of action, resulting in considerable heteroge... read more 

Construction of musculoskeletal quantitative model based on deep learning and study of musculoskeletal relationship in patients with osteoporosis.

Journal of advanced research
INTRODUCTION: Lumbar CT and MRI scans are helpful for osteoporosis (OP) screening. Deep learning enhances the efficiency and accuracy of musculoskeletal quantification for OP screening. OBJECTIVES: To develop a deep learning-based model (UNet3D) for ... read more 

From Clusters to Outcomes: Machine Learning-Based Phenotyping in Intermediate-High-Risk Acute Pulmonary Embolism.

Pulmonary circulation
Intermediate-high-risk (IHR) pulmonary embolism (PE) represents a heterogeneous group in whom guideline-based criteria may insufficiently capture biologic and hemodynamic variability relevant to early deterioration. Data-driven phenotyping may improv... read more 

Peripheral Nerves in Cancer: Regulatory Roles and Therapeutic Strategies.

MedComm
Cancer neuroscience has emerged as a transformative frontier in oncology research, focusing on the interplay between cancer cells and the nervous system. Cancer cells establish tumorspecific neural networks within tumor tissues via neurotrophic hijac... read more 

Machine learning-enabled metabolomics for geographical authentication of Lonicera japonica via UHPLC-Q-TOF-MS/MS and SHAP interpretation.

Food chemistry
Geographical traceability is vital for ensuring the authenticity and quality of food and medicinal plants. Lonicera japonica Thunb. (Jinyinhua, JYH) is widely consumed for its pharmacological and nutritional benefits, yet its quality is strongly orig... read more 

Learning frequency-aware graph fraud detection.

Neural networks : the official journal of the International Neural Network Society
Graph Fraud Detection (GFD) has become a critical task in online systems such as financial networks, review platforms, and social media, where fraudulent behaviors are inherently rare and often embedded within benign communities. Graph Neural Network... read more 

GIN-transformer based pairwise graph contrastive learning framework.

Neural networks : the official journal of the International Neural Network Society
Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical biomarkers for diagnosing neuropsychiatric disorders such as autism spectrum disorder (ASD) and major depressive disorder (MDD). However, existing deep learning models he... read more 

Global inland waters trophic status from space observation: scientific advances and future challenges.

Water research
Inland waters represent a significant share of the global freshwater resources and can have a profound impact on global climate and human well-being. By 2050, the world's population is expected to reach 9.7 billion, and one in four people is expected... read more