Artificial Intelligence Medical Compendium

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

Showing 37,861 to 37,870 of 223,469 articles

Lower limb and feet wound image dataset.

Data in brief
A comprehensive wound-related image repository was developed to address critical gaps in existing medical imaging resources, particularly the lack of balanced datasets representing both healthy and pathological lower-limb conditions. The collection c... read more 

GESMA: A dataset of Ghanaian environmental soundscapes for machine learning applications.

Data in brief
This paper presents a dataset of real-world Ghanaian environmental soundscapes intended to support machine-listening research and sound-event classification in low-resource contexts. The collection contains 22,193 uncompressed 44.1 kHz/16-bit WAV rec... read more 

FORWARD: Dataset of a forwarder operating in rough terrain.

Data in brief
We present FORWARD, a high-resolution multimodal dataset of a cut-to-length forwarder operating in rough terrain on two harvest sites in the middle part of Sweden. The forwarder is a large Komatsu model equipped with vehicle telematics sensors, inclu... read more 

GAN-FixMatch: A generative-semi-supervised deep learning framework for small-sample quantitative analysis in near-infrared spectroscopy of agricultural and pharmaceutical materials.

Analytica chimica acta
BACKGROUND: Near-infrared (NIR) spectroscopy has become a key analytical tool for rapid and non-destructive quantification in agricultural, pharmaceutical, and medicinal materials. However, the predictive performance of deep learning models remains h... read more 

Optimal machine learning models and factors for global infectious diseases: An ecological analysis.

Infectious medicine
BACKGROUND: Infectious diseases are a major global public health challenge. Socioeconomic and environmental changes have complicated the situation, underscoring the need for effective predictive models and key factor identification for prevention and... read more 

Attention unleashed: Creative therapy for thoughtful transformation.

iScience
Various factors-motivation, interest, fatigue, and external stimuli-influence creative mental processes and attention control (AC). Creative thinking (CT) relies on AC and involves coordinated neural networks and pathways. The cognitive function of A... read more 

Multi-omics and machine learning reveal a critical mediator of PRKCA in quercetin-mediated protection against Sarcopenia.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Sarcopenia, the age-associated loss of skeletal muscle mass and function, poses a growing public health challenge. Although dietary flavonoids have been proposed as protective agents due to their antioxidant and anti-inflammatory properti... read more 

Machine learning classification of normal and malignant cells on the basis of their viscoelastic properties.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Cell mechanics, elasticity and viscoelasticity, are key markers of biological states like cancer. Atomic force microscopy (AFM) is ideal for such studies, but its low throughput limits large-scale use. Two solutions exist: a... read more 

Hybrid groupers-moray orangutan optimization algorithm-based dense-resolution network for autism spectrum disorder detection using multimodal data.

Psychiatry research. Neuroimaging
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder involving cognitive and social impairments. Precise diagnosis is vital for effective intervention. However, conventional diagnostic techniques exhibited poor generalization, and high err... read more