AI Medical Compendium

Modeling nonlinear variable-order fractional chaotic systems using the Caputo-Fabrizio operator and radial basis function neural networks.

Scientific reports Feb 9, 2026

This study explores the characteristics of a nonlinear fractional chaotic model applying a fractional-order variation approach, leveraging radial basis function neural networks (RBFNN) for efficient modeling. Unlike previous research that relied on c... read more

Evaluation of deep learning models for segmentation of hippocampus volumes from MRI images in Alzheimer's disease.

Scientific reports Feb 9, 2026

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

Communications medicine Feb 9, 2026

BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-motor symptoms. Mental and behavioural non-motor symptoms such as cognitive impairment, sleep disturbances, depression, and anxiety greatly affect qua... read more

Multimodal AI System for Plastic Surgery Diagnosis and Decision-Making Using Deep Learning of Psychological Questionnaires and Three-Dimensional Facial Data.

Aesthetic plastic surgery Feb 9, 2026

PURPOSE: To design and develop an AI-based plastic surgery recommendation system using 3D photographs and psychological questionnaire surveys, aiming to provide personalized treatment solutions for the plastic surgery industry. METHODS: Based on arti... read more

A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification.

Nature genetics Feb 9, 2026

Classification of tumors in neuro-oncology today relies on molecular patterns (mostly DNA methylation) and their machine learning-supported interpretation. Understanding the process of algorithmic interpretation is essential for safe application in c... read more

Unlocking the full potential of MRI with artificial intelligence for pre-operative meningioma evaluation.

European radiology Feb 9, 2026

Plasma metabolomic signatures in patients with multidrug-resistant bacterial sepsis.

Metabolomics : Official journal of the Metabolomic Society Feb 9, 2026

BACKGROUND AND OBJECTIVE: Multidrug-resistant (MDR) bacterial infections are a leading cause of sepsis-related death. A rapid method to identify patients with MDR infections upon hospital admission is urgently needed. This study aimed to characterize... read more

Individualized gamma knife radiosurgery prescription dosing for pituitary adenomas: development and internal validation of a feedforward neural network model.

Pituitary Feb 9, 2026

BACKGROUND: Gamma Knife radiosurgery (GKRS) is an established treatment for pituitary adenomas yet prescription dose selection is often guided by clinician experience. Data-driven models may help standardize dose selection using routinely available c... read more

Synthetic health data in Canada: A scoping review of methods, applications, and data sources.

Canadian journal of public health = Revue canadienne de sante publique Feb 9, 2026

BACKGROUND: Access to provincial health-related data for multi-jurisdictional studies in Canada is restricted by privacy laws. Synthetic data (SD), which mimic real data, can facilitate privacy preservation. However, information on SD use in Canadian... read more

Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance.

European radiology experimental Feb 9, 2026

BACKGROUND: Synthetic positron emission tomography (PET) imaging, enabled by deep learning, represents a promising approach to minimize radiation exposure while preserving diagnostic accuracy. However, variability in methodologies, performance metric... read more

Artificial Intelligence Medical Compendium