Artificial Intelligence Medical Compendium

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

Showing 69,191 to 69,200 of 233,923 articles

Anthocyanins loaded bilayer films based on polysaccharides assisted by machine learning for fish freshness monitoring.

Food chemistry
Novel multifunctional packaging for monitoring and maintaining food freshness has been developed. Bilayer films based on polysaccharides incorporating red cabbage anthocyanins were prepared. Anthocyanins were encapsulated in the inner layer based on ... read more 

Gait analysis and prediction in Parkinson's disease using rhythmic auditory stimulation: A data-driven approach with machine learning models.

Clinical biomechanics (Bristol, Avon)
BACKGROUND: Gait disturbance is a core feature of Parkinson's disease (PD), contributing to mobility loss and fall risk. Rhythmic auditory stimulation (RAS) can improve gait, yet response varies across patients. This study evaluated RAS effects on ga... read more 

Declining female representation with advancing academic rank in veterinary institutions from non-Western countries.

Research in veterinary science
Gender equity in academic veterinary science remains underexplored outside of Western countries. This study aimed to evaluate gender representation across academic ranks within veterinary institutions in Asia, Sub-Saharan Africa, Latin America, and t... read more 

A rapid identification study of Atractylodis Macrocephalae Rhizoma and its hot processed products based on composite feature reconstruction combined with OOA-BP algorithm.

Talanta
Atractylodis Macrocephalae Rhizoma (AMR) is classified as a medicinal and edible homologous food in China. Based on the fusion of multi-source information, this study comprehensively reveals the changing patterns of appearance, texture and compositio... read more 

Characterizing the critical role of older people's overall satisfaction with green spaces for their well-being using machine learning methods: Feature extraction and predictive modeling.

Acta psychologica
This study establishes an integrative machine learning (ML) framework that bridges environmental psychology and data science to investigate the psychological well-being of older adults in urban green spaces (UGS). We applied decision tree (DT), rando... read more 

Enhanced classification of aluminum alloys via time-frequency dual-doma1'in acoustic feature fusion with laser-induced breakdown spectroscopy.

Talanta
Accurate classification of aluminum alloys with minor compositional differences remains a challenge for laser-induced breakdown spectroscopy (LIBS) due to spectral similarity and matrix effects. Herein, we propose a time-frequency dual-domain enhance... read more 

Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Despite the significant potential of Foundation Models (FMs) in medical imaging, their application to prognosis prediction remains challenging due to data scarcity, class imbalance, and task complexity, limiting their clini... read more 

Prospective validation of deep-learning algorithms for diabetic retinopathy screening: A systematic review and meta-analysis.

Survey of ophthalmology
Deep-learning (DL) algorithms are widely promoted for diabetic-retinopathy (DR) screening, yet their prospective diagnostic accuracy is not well defined. PubMed, EMBASE and ClinicalTrials.gov were searched to April, 2025, for prospective evaluations ... read more 

Overcoming the warming bottleneck in animal vitrification: Volumetric heating and enabling technologies for reproductive cryobanking.

Progress in biophysics and molecular biology
Reproductive cryopreservation via vitrification is vital for livestock breeding and biodiversity conservation, as it enables ice-free storage of gametes and embryos. However, success increasingly depends on achieving rapid, uniform warming to avoid d... read more