Artificial Intelligence Medical Compendium

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

Showing 21,251 to 21,260 of 216,348 articles

Advances in the Identification and Agreement About Meta-Therapy for Voice Disorders: A Methodological Paper.

Journal of speech, language, and hearing research : JSLHR May 8, 2026
BACKGROUND: Meta-therapy (MT) is a powerful dialogue-based element of voice therapy that scaffolds patients' cognitive models of treatment. MT dialogues have not historically been taught in an explicit manner, and substantial variability in identifyi... read more 

Demonstrating real advantage of machine learning-enhanced Monte Carlo for combinatorial optimization.

Proceedings of the National Academy of Sciences of the United States of America May 8, 2026
Combinatorial optimization problems are central to both practical applications and the development of optimization methods. While classical and quantum algorithms have been refined over decades, machine learning-assisted approaches are comparatively ... read more 

Inspiratory muscle training devices for chronic lung disease management: current evidence and future directions.

Expert review of medical devices May 8, 2026
INTRODUCTION: Inspiratory muscle training (IMT) is a potential adjunct therapy to improve inspiratory muscle strength and endurance, exercise capacity, health-related quality of life (HRQL) and symptoms in chronic lung diseases. A growing number of I... read more 

Blending AI with Expertise: A Comparative Study of Concept Maps in Anatomy Education.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre May 8, 2026
OBJECTIVE: Concept maps are valuable tools in anatomy education, helping students organize complex information visually. With the rise of generative artificial intelligence (AI), tools like large language models (LLMs) and large action models (LAMs) ... read more 

Molecular signature evolution of coal-derived dissolved organic matter under geothermal conditions: FT-ICR MS and machine learning.

PloS one May 8, 2026
The accurate identification of water sources and tracing of inrush pathways in deep coal mines remain challenging, as elevated geothermal temperatures can alter the molecular fingerprints of coal-derived dissolved organic matter (Coal-DOM), a potenti... read more 

Mapping the Research Landscape and Emerging Trends in Hashimoto's Encephalopathy: A CiteSpace-Based Visualization Analysis.

Neuroendocrinology May 8, 2026
INTRODUCTION: Hashimoto's thyroiditis is the leading cause of hypothyroidism in iodine-sufficient regions and is often accompanied by various comorbid conditions. Hashimoto's encephalopathy (HE) represents one of its most severe neurological complica... read more 

Machine learning-based model for predicting recanalization in isolated distal deep vein thrombosis and analysis of predictors.

PloS one May 8, 2026
BACKGROUND: Isolated distal deep vein thrombosis (IDDVT) is common, yet tools for predicting poor recanalization remain limited. We aimed to develop and compare machine learning models for predicting poor recanalization in patients with IDDVT and to ... read more 

Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province.

PloS one May 8, 2026
The differential understanding of the landslidetriggering mechanisms across various geomorphic units is vital for enhancing regional disaster prevention. This study investigates the Loess Plateau area in northern Shaanxi and the Qinba Mountain Area i... read more 

Systematic evaluation of the DeepSeek large language model for clinical diagnostic reasoning.

PloS one May 8, 2026
BACKGROUND: Artificial intelligence (AI) is undergoing an era of transformative advancement, particularly through the emergence of Transformer-based large language models (LLMs). While these systems demonstrate strong reasoning and generalization cap... read more 

Target Detection and Localization for Mobile Molecular Communication by Deep Learning Methods.

IEEE transactions on nanobioscience May 8, 2026
Mobile molecular communication (MMC) has various promising applications, such as environmental monitoring, targeted drug delivery and artificial biointelligence. However, the dynamic nature of MMC poses significant challenges for accurate target dete... read more 
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