AI Medical Compendium

Comparison of volume- and surface-based magnetic resonance imaging morphometry algorithms in the detection of focal cortical dysplasia.

Epilepsia Jun 3, 2026

OBJECTIVE: Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume-based Morp... read more

Rapid Musculoskeletal MRI in 2026: Clinical Integration of Deep Learning Reconstruction.

AJR. American journal of roentgenology Jun 3, 2026

Advances in MRI hardware and acceleration strategies have enabled substantial reductions in musculoskeletal MRI acquisition times over the past decade. Advanced acceleration techniques have facilitated four- to eightfold acceleration but are often li... read more

A new era beckons in asthma: enhanced models of care, disease remission, artificial intelligence and consumer participation.

Internal medicine journal Jun 3, 2026

The landscape of asthma management is undergoing significant transformation. This change is driven by several factors: deeper understanding of asthma pathophysiology, appreciation of the long-term harm of oral corticosteroids, biological treatments t... read more

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors.

ACS nano Jun 3, 2026

Computational point-of-care (POC) sensors enable rapid, low-cost, and accessible diagnostics in emergency, remote, and resource-limited areas that lack access to centralized medical facilities. These systems can use neural network-based algorithms to... read more

Study Design Differences and Temporal Morphology Bias in Intracranial Aneurysm Rupture Research: Toward Prospectively Validated Risk Models: An Umbrella Review.

Neurosurgery Jun 3, 2026

BACKGROUND AND OBJECTIVE: Risk stratification for unruptured intracranial aneurysms largely relies on meta-analyses that synthesize heterogeneous primary data. However, fundamental differences in study design, particularly between cross-sectional rup... read more

A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest?

The Journal of the American Academy of Orthopaedic Surgeons Jun 3, 2026

INTRODUCTION: With evolving lifestyles and improvements in surgical techniques, the utilization of total hip arthroplasty (THA) is growing across patients of all ages. Although complication rates are low, they are still a key consideration in THA pla... read more

A combined approach for predicting elbow joint moment and muscle force during dumbbell kickback in females using simulation-driven machine learning and metaheuristic optimization.

Computer methods in biomechanics and biomedical engineering Jun 3, 2026

This study evaluates metaheuristic hyperparameter optimization for estimating elbow joint moment (EJM) and triceps brachii muscle force (TBMF) during dumbbell kickback in female participants. Motion data from fourteen women were used in a MATLAB Sims... read more

Epigenetic and genetic insights for tailored therapeutic strategies in multiple sclerosis.

Personalized medicine Jun 3, 2026

Multiple sclerosis (MS) is a complex neurological disorder with inflammation, demyelination, and neurodegeneration in the CNS. Disease-modifying therapies (DMTs) exist, but their efficacy is limited by MS's varied nature, highlighting the need for pe... read more

Extracellular Vesicles in Exhaled Breath Condensate as Emerging Biomarkers in Lung Cancer.

American journal of physiology. Cell physiology Jun 3, 2026

Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aerosolized material from the respiratory tract and may provide insight into local lung biology. Within this matrix, extracellular vesicles (EVs) can carr... read more

A Data-Driven Normalization Framework for Subject-Specific Cerebrovascular Reactivity Assessment in Cerebrovascular Disease.

Journal of magnetic resonance imaging : JMRI Jun 3, 2026

BACKGROUND: Assessment of cerebrovascular reactivity (CVR) has been reported using acetazolamide-augmented blood oxygenation level-dependent (BOLD) MRI; however, wide intersubject baseline variability can complicate interpretation. PURPOSE: To develo... read more

Artificial Intelligence Medical Compendium