Artificial Intelligence Medical Compendium

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

Showing 2,421 to 2,430 of 202,214 articles

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

AJR. American journal of roentgenology
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
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
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
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
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
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 

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

Environmental monitoring and assessment
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 

CeO2 Nanozymes as redox regulators: Reprogramming of reactive oxygen species (ROS) signaling for plant climate resilience.

Plant molecular biology
Climate change-induced abiotic stress, including heat, cold, salinity, and drought, increasingly threaten global crop productivity. These challenges highlight the need for complementary strategies alongside conventional genetic improvement. Reactive ... read more 

Deep learning for early detection of Zenker's diverticulum based on swallowing sound analysis.

International journal of computer assisted radiology and surgery
PURPOSE: Patients with Zenker's diverticulum (ZD) often suffer from oropharyngeal dysphagia that can go undiagnosed for years. Diagnosis of ZD typically requires specialized centers and videofluoroscopy. Our study aims to create a noninvasive, access... read more