Artificial Intelligence Medical Compendium

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

Showing 50,111 to 50,120 of 224,814 articles

AI-integrated smartphone platform enables POC dual-channel glucose monitoring with an indicator-free nanozyme gel kit.

Biosensors & bioelectronics
We developed an indicator-free, dual-mode glucose monitoring platform by synthesizing glucose oxidase (GOX)-templated MnO2 nanosheets via a microwave-assisted static biomineralization strategy. This approach preserves the enzyme's native activity and... read more 

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Nature communications
Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer remains limited. Here we apply a machine learning-based prediction model of insulin resistance with nin... read more 

Biophysical factors and management practices are key to shaping forest resilience.

Nature communications
Forest management influences key ecosystem services essential for societal well-being. However, how these human management activities affect forest resilience under different environmental conditions remains poorly understood. This study investigates... read more 

Environment, taxonomy, and socioeconomics predict non-imperilment in freshwater fishes.

Nature communications
Freshwater fishes are among the most threatened taxa, yet conservation assessments remain incomplete for many species. Freshwater fishes provide essential ecosystem services such as food security, recreational opportunities, and cultural significance... read more 

Estimating the odds ratio from the output scores of machine learning models: possibilities and limitations.

Scientific reports
Estimation of exposure-response association is central to epidemiologic research. Although the advantages of machine learning (ML) techniques for modeling complex relationships are well-recognized, their use in epidemiologic studies are limited mainl... read more 

Facial mark based biometric differentiation of identical twins using dynamic feature enhancement.

Scientific reports
This comprehensive study demonstrates an advanced machine learning framework for distinguishing identical twins using facial skin marks, achieving 96.62% cross-validation accuracy and 90.6% AUC score. The methodology incorporates four distinct hyperp... read more 

A Flexible Hybrid Quantum-classical Training Framework of Organ-at-Risk and Tumor Segmentation Models for Radiation Therapy Planning.

Scientific reports
Deep learning-based Organ-at-Risk (OAR) and tumor segmentation is vital for radiation therapy planning but often suffers from over-parameterization, requiring large datasets to avoid overfitting, which is impractical in small-sample medical settings.... read more 

Ensemble learning-based prediction of the backbone curve for corroded reinforced concrete columns using experimental database.

Scientific reports
Corrosion significantly degrades the seismic performance of reinforced concrete (RC) columns, yet assessment methods often rely on idealized backbone models or datasets with limited diversity, which reduces general applicability. This study develops ... read more