Artificial Intelligence Medical Compendium

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

Showing 20,221 to 20,230 of 215,962 articles

Satellite time-series mapping and driving mechanisms of cropland abandonment in mountainous regions of China.

Journal of environmental management May 12, 2026
Cropland abandonment (CA) has become increasingly prevalent in mountainous regions, posing significant challenges to agricultural sustainability, land management, and regional food security. Complex terrain and fragmented land-use patterns hinder lon... read more 

Nonlinear and interactive effects of human capital skills on twin green-digital transition: Evidence from recruitment data and explainable machine learning.

Journal of environmental management May 12, 2026
The twin green-digital transition (TGD) is a key pathway for firms to enhance resource efficiency, reduce pollution, and strengthen green competitiveness. However, the roles of human capital skills in TGD, particularly their heterogeneity, nonlineari... read more 

A data-driven integrated framework for sustainable evaluation of grey-green urban drainage strategies under rainfall variability: Hydrodynamic surrogate modelling and economic assessment.

Journal of environmental management May 12, 2026
Urban areas face increasing pressure from population growth and climate variability, which intensify flood risk and strain water-related infrastructure. While grey and green drainage strategies are widely promoted to enhance urban resilience, their c... read more 

Generic neural network model for estimating exposure levels in industrial environments.

Journal of radiological protection : official journal of the Society for Radiological Protection May 12, 2026
This study describes a neural network-based method for estimating exposure levels in industrial environments, without requiring detailed technical inputs, allowing usage of the model by layman people or by workers active in these areas. A pipeline ba... read more 

Artificial Intelligence (Pattern Recognition) in Musculoskeletal Imaging: The Future or Hype?

Seminars in musculoskeletal radiology May 12, 2026
Artificial intelligence and automated pattern recognition, in particular, have been described as the next frontier in musculoskeletal imaging. However, as the initial hype phase transitions into clinical reality, an essential evaluation of these tech... read more 

New Techniques in Musculoskeletal MRI: State of the Art.

Seminars in musculoskeletal radiology May 12, 2026
ABSTRACT: Musculoskeletal magnetic resonance imaging has evolved substantially, driven by advances in hardware, image acquisition, and reconstruction techniques. Improvements in gradient performance and dedicated radiofrequency coils have enhanced sp... read more 

Peripheral retinal haemorrhage density on ultra-widefield imaging as a novel biomarker for predicting diabetic retinopathy progression: a 2-year longitudinal study in Asians.

The British journal of ophthalmology May 12, 2026
AIMS: To evaluate whether predominantly peripheral lesions (PPLs) and other imaging biomarkers on ultra-widefield (UWF) photography can predict the progression of diabetic retinopathy (DR) in a multiethnic Asian cohort. METHODS: This was a prospectiv... read more 

Deciphering tumor metabolites: emerging technologies shaping clinical implications.

Trends in cancer May 12, 2026
Metabolites exert pleiotropic effects that govern tumor progression. This review evaluates current platforms and technologies for metabolite detection, alongside emerging strategies for functional research. These innovations have identified novel met... read more 

Awareness, attitudes, and perceived barriers to artificial intelligence adoption in Turkish clinical biochemistry laboratories: an exploratory cross-sectional survey.

Annals of clinical biochemistry May 12, 2026
BACKGROUND: Artificial intelligence (AI) is increasingly recognized as transformative in laboratory medicine, yet adoption lags behind radiology and cardiology. Limited data exist on AI-related attitudes and perceived barriers in Turkish clinical lab... read more 

An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction.

Nature communications May 12, 2026
Optical aberrations fundamentally limit the performance of optical systems across scales, from microscopy and astronomy to quantum imaging and ubiquitous technologies such as smartphone cameras, autonomous vehicles, and optical communication networks... read more 
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