AI Medical Compendium

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

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

Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular Generation.

Journal of chemical theory and computation Jun 3, 2026

With the advancement of artificial intelligence, molecular design based on generative models offers novel approaches to accelerate drug discovery. However, existing molecular generation methods suffer from inadequate representational capability in ge... 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

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

Operational Integration and Temporal Validation of a Continuously Deployed ICU Prediction Model.

Critical care medicine Jun 3, 2026

OBJECTIVES: To operationalize and temporally validate an electronic medical record (EMR)-integrated machine learning system (Big data-driven Evaluation of Survival and Treatment in Acute Illness [BEST-AI]) that generates hourly predictions for multip... read more

Externally Tested AI Models for Malignancy Classification of Lung Nodules at Chest CT: A Systematic Review and Meta-Analysis.

Radiology. Artificial intelligence Jun 3, 2026

Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials and Methods A systematic search of PubMed, Embase, Web of Science, CINAHL, and the Cochrane Library... 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

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

AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities.

JACC. Case reports Jun 3, 2026

Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to specialists, incomplete clinical documentation, and patients with complex comorbidities. Artificial intelligence clinical decision support systems have ... read more

Artificial Intelligence Medical Compendium