Artificial Intelligence Medical Compendium

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

Showing 68,121 to 68,130 of 233,231 articles

Investigating the truthfulness of autobiographical events through mouse dynamics.

Memory (Hove, England)
This study examines the kinematic characteristics of mouse movements as a means to assess the truthfulness of reported autobiographical memories. Ninety participants answered double-choice questions about an autobiographical event using a computer mo... read more 

Artificial Intelligence in Dentistry: A Concise Review of Reporting Checklists and Guidelines.

International dental journal
Artificial intelligence (AI) has become increasingly integrated into dental diagnostics, imaging and treatment planning. However, despite this growing adoption, adherence to standardised reporting frameworks remains inconsistent. Insufficient use of ... read more 

Lipidomics-driven insights into acupuncture mechanisms: From dynamic signaling networks to multi-dimensional regulations.

Current opinion in pharmacology
This review summarizes lipidomics as a key approach to dissect the multi-dimensional regulatory mechanisms of acupuncture, and reveals the role of lipid networks serve as critical 'molecular transducers' in the conversion of mechanical stimulation to... read more 

Artificial intelligence and machine learning applications in ambulatory surgery - A systematic review.

American journal of surgery
BACKGROUND: We aimed to systematically review applications of artificial intelligence (AI) technologies for ambulatory surgical patients. METHODS: We systematically searched PubMed, Scopus, Web of Science, and EBSCOhost (2015-2025). Studies were incl... read more 

Industry 6.0 capabilities in orthopaedics: Towards hyper-personalized and autonomous surgical care.

Journal of orthopaedics
BACKGROUND: Industry 6.0 represents the next frontier in technological evolution, integrating artificial intelligence (AI), autonomous robotics, digital twins, hyper-personalization, and predictive analytics to create adaptive, precision-driven syste... read more 

Spatio-temporal forecasting of dengue in the Americas through hybrid mechanistic and data-driven models: Systematic review and meta-analysis.

Infectious Disease Modelling
This systematic review and meta-analysis (PROSPERO: CRD420251130769) synthesises 30 dengue modelling studies conducted in the Americas between 2016 and 2025, evaluating the integration of mechanistic and data-driven approaches. We quantified the reli... read more 

Comparing ChatGPT and DeepSeek for ultra-processed food classification: AI models for nutritional research and dietary assessment.

Nutrition (Burbank, Los Angeles County, Calif.)
OBJECTIVES: There is growing evidence linking the consumption of ultra-processed foods (UPFs) to adverse health outcomes. Accurate classification of foods according to the extent and purpose of industrial processing is therefore essential for improvi... read more 

Deciphering the microbial complexity of Chinese traditional sourdough through integrated learning.

Food research international (Ottawa, Ont.)
Sourdough fermentation relies on a dynamic microbial consortium of fungi and bacteria, shaped by interspecies interactions and environmental conditions. We analyzed the microbiota and physicochemical characteristics of 115 sourdough samples - includi... read more 

NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration.

Neural networks : the official journal of the International Neural Network Society
Spiking neural networks (SNNs) are artificial neural networks based on simulated biological neurons and have attracted much attention in recent artificial intelligence technology studies. The dendrites in biological neurons have efficient information... read more 

Adaptive network based fuzzy inference system efficientnet for autism spectrum disorder detection with optimization based pivotal region extraction.

Psychiatry research. Neuroimaging
Autism Spectrum Disorder (ASD) refers to abnormal neural activity that may increase the risk of premature brain development issues. Many traditional treatment methods are available for ASD, but they require continuous assessment and analysis of patie... read more