Artificial Intelligence Medical Compendium

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

Showing 19,511 to 19,520 of 214,800 articles

Efficient deep learning models for oral squamous cell carcinoma classification in histopathological images.

Scientific reports May 12, 2026
Recent advances in deep learning have significantly improved the accuracy and efficiency of disease classification in digital pathology. Early diagnosis and precise classification of histopathological images are crucial for enabling timely treatment ... read more 

CT-based radiomic markers to predict late-onset seizures after traumatic brain injury.

Scientific reports May 12, 2026
Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but early risk prediction remains imprecise. Radiomics enables quantitative analysis of subtle abnormalities on non-contrast head CT (NCCT) that are not ... read more 

Anatomically guided latent diffusion for high-resolution 3D chest CT synthesis.

Scientific reports May 12, 2026
Accurate and automated analysis of chest Computed Tomography (CT) scans is critical for early detection and risk stratification of lung cancer, the leading cause of cancer-related mortality worldwide. However, the development of robust deep learning ... read more 

An intelligent context-aware facial emotion recognition system for hearing-impaired individuals using large language models and neural network-based feature fusion.

Scientific reports May 12, 2026
Facial emotion recognition (FER) plays a vital role in understanding human behavior and communications, with applications in human-computer interaction, surveillance, healthcare, and multimedia content analysis. Emotion recognition is challenging as ... read more 

Machine learning-driven optimization of asphalt performance using eco-friendly waste modifiers.

Scientific reports May 12, 2026
Sustainable road construction is crucial in minimizing energy consumption, greenhouse gas emissions, and depletion of natural resources. Traditional asphalt production practices are under scrutiny due to their environmental impact, necessitating a sh... read more 

Role of artificial intelligence in analyzing human behavior and predicting personality traits and personality disorders.

Scientific reports May 12, 2026
Traditional approaches to the diagnosis of personality disorders, including a clinical interview and a self-report, are usually limited by subjectivity and time constraints. Recent developments in artificial intelligence have opened the possibility o... read more 

Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma.

Scientific reports May 12, 2026
Neuro-cancer crosstalk plays an important role in the development and progression of Glioblastoma (GBM), but its specific mechanisms remain incompletely elucidated. This study aims to systematically identify key genes related to neuro-cancer crosstal... read more 

Multi-modal personalized federated learning with adaptive differential privacy for medical image classification and a privacy-preserving approach.

Scientific reports May 12, 2026
Deep learning on medical images classification intervention needs to use large data on multi-institutional datasets but privacy laws inhibit sharing of data (GDPR, HIPAA). Federated Learning (FL) facilitates collaborative training without data transf... read more 

Machine learning-driven adaptive parameter selection for homomorphic encryption in edge computing.

Scientific reports May 12, 2026
The rapid proliferation of Internet of Things (IoT) devices and edge computing infrastructures has intensified concerns regarding data security and privacy, particularly when sensitive information is processed beyond centralized cloud environments. H... read more 

Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees.

Scientific reports May 12, 2026
Laser-induced breakdown spectroscopy (LIBS) is a versatile technique for characterizing materials and analyzing elements, but it is limited in its quantitative accuracy due to nonlinear effects. This study uses machine learning (ML) regression algori... read more 
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