Artificial Intelligence Medical Compendium

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

Showing 4,391 to 4,400 of 203,842 articles

Liquid-liquid phase separation in metabolic engineering: Mechanistic insights, emerging applications, and future challenges.

Biotechnology advances Jun 2, 2026
Mechanistic studies of liquid-liquid phase separation (LLPS) have increasingly revealed that cells achieve multiscale and highly precise regulation of metabolic activities and biochemical reaction networks through the formation of membraneless organe... read more 

Assessing Military Artificial Intelligence Responses to Anterior Cruciate Ligament Injury Frequently Asked Questions.

Military medicine Jun 2, 2026
INTRODUCTION: Artificial intelligence is gaining significant traction, particularly in the orthopedic literature. To date, there has been no published literature on the use of specific military AI tools such as NIPR-GPT. The accuracy, reliability, an... read more 

Detecting inflammatory arthritis in hand smartphone photographs: development and validation of a computer vision model in clinical settings.

Rheumatology (Oxford, England) Jun 2, 2026
OBJECTIVE: Computer vision can classify inflammatory arthritis on smartphone photographs. We aimed to train, validate and judiciously choose a model for detecting hand synovitis from standardized smartphone photographs in a real-world rheumatology ou... read more 

Advances in body composition imaging for diagnosis and monitoring: From radiologic assessment to precision medicine.

Journal of the Chinese Medical Association : JCMA Jun 2, 2026
Body composition (BC) is a key determinant of metabolic risk, treatment tolerance, and long-term outcomes. The distribution of skeletal muscle, visceral adipose tissue (VAT), and ectopic fat provides greater prognostic information than total body wei... read more 

Deep self-attention reinforcement learning adaptive gait planning and control for lower limb rehabilitation exoskeletons robot.

iScience Jun 2, 2026
Aiming at the gait planning challenges of lower limb rehabilitation exoskeletons for adapting to user-specific gait characteristics, this study proposes an adaptive gait planning framework based on an improved deep deterministic policy gradient (DDPG... read more 

High-frequency EEG synchronization modes as a stable biometric signature in humans.

iScience Jun 1, 2026
Electroencephalography (EEG) offers a promising modality for biometric identification, though balancing performance, interpretability, and robustness remains a challenge. High-accuracy methods typically rely on supervised or deep learning models with... read more 

Integrating MIKE model simulations with CNNs for rapid and accurate urban flood prediction.

iScience Jun 1, 2026
Rapid prediction of urban pluvial flooding is an important tool for mitigating current urban flooding disasters. This paper constructs a fast prediction model for urban flooding based on a machine learning approach. Firstly, MIKE numerical model simu... read more 

Mental health in early pregnancy: Interplay of objectively measured lifestyles, gut microbiota, and metabolomics.

iScience Jun 1, 2026
Prenatal anxiety symptoms (AS) and depression symptoms (DS) in early pregnancy substantially impact maternal-infant health, but their pathophysiological mechanisms remain unclear. We conducted a multimodal assessment of 161 early-pregnant women. DS e... read more 

The role of artificial intelligence in structuring youth athletic training: implications for personality and motivational development.

The Journal of sports medicine and physical fitness Jun 1, 2026
BACKGROUND: This study examines the impact of AI-based training approaches on young athletes' motivation and personality traits. The analysis focuses specifically on graded training programs developed using artificial intelligence. METHODS: The study... read more 

A Comparative Evaluation of Large Language Models on Pediatric Board-Style Examinations.

Hospital pediatrics Jun 1, 2026
OBJECTIVE: To evaluate the performance of 4 leading large language models (LLMs) on pediatric board-style examinations and to assess whether question characteristics are associated with response accuracy. METHODS: This study evaluated LLM platforms u... read more 
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