AI Medical Compendium

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

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

Discovery of High-Performance Extremophiles and Extremozymes Using Machine Learning and Structure-Based Clustering.

Environmental science & technology Jun 3, 2026

The exploration of extremophiles─microorganisms that thrive in extreme environments─is crucial for advancing biotechnological applications and understanding the limits of life. However, traditional methods for identifying extremophiles are labor-inte... read more

Agreement between three state-of-the-art deep learning bone age estimation models and chronological age in a large contemporary pediatric cohort.

Pediatric radiology Jun 3, 2026

BACKGROUND: Radiographic bone age estimation is routinely performed in children to evaluate short stature, early or late puberty, and endocrine disorders, as well as for surgical planning. OBJECTIVE: To evaluate agreement between three state-of-the-a... read more

Artificial intelligence in paediatric chest imaging: applications, challenges, and future directions.

Pediatric radiology Jun 3, 2026

BACKGROUND: Paediatric chest imaging is central to diagnosing respiratory and cardiopulmonary disease, particularly in low- and middle-income countries (LMICs) where pneumonia remains a leading cause of childhood mortality and radiology expertise is ... read more

Correction to: Accuracy of vestibular schwannoma segmentation using deep learning models - a systematic review & meta-analysis.

Neuroradiology Jun 3, 2026

Deep learning-based water body extraction using high-resolution RGB-UAV imagery: a case study on Horseshoe Island, Antarctica.

Environmental monitoring and assessment Jun 3, 2026

Antarctica, which contains nearly 70% of the world's freshwater reserves, plays a key role in regulating global sea level and climate processes. Its coastal environments are highly dynamic and shaped by glacier calving, tidal forcing, and complex oce... read more

Artificial Intelligence Medical Compendium