Artificial Intelligence Medical Compendium

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

Showing 33,491 to 33,500 of 221,422 articles

Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
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A Deep Learning Model for Automatic Thresholding of Auditory Brainstem Responses: Multicenter and Multispecies Validation.

Ear and hearing
OBJECTIVES: This study aims to develop a deep learning model that directly estimates auditory brainstem response (ABR) thresholds from stacked waveform series across multiple stimulus intensities, and to validate its performance on multicenter, large... read more 

Machine learning-based radiomics analysis of PET imaging for early prediction of concurrent chemoradiotherapy response in stage II-III cervical squamous cell carcinoma.

BMC cancer
BACKGROUND: Cervical squamous cell carcinoma is a major global health burden, with many patients presenting with locally advanced disease requiring concurrent chemoradiotherapy (CCRT). Early assessment of treatment response (TR) is critical for optim... read more 

Cross-body site microbial interactions influence the human plasma metabolome.

Microbiome
BACKGROUND: The human microbiome profoundly influences the host plasma metabolome and health, but most studies have focused on the gut microbiome in isolation. A comprehensive assessment of how microbiomes from multiple body sites jointly shape host ... read more 

Effects of IMU placement strategies on the accuracy of hip joint angle estimation.

Computer methods in biomechanics and biomedical engineering
Inertial measurement units (IMUs) provide a portable and low-cost solution for motion monitoring, but their estimation accuracy is strongly influenced by sensor placement. This study designs five IMU placement strategies with different numbers and po... read more 

Quantification of Soil Organic Carbon by Shifted-Excitation Raman Difference Spectroscopy with Machine Learning and Common Mode Rejection.

Analytical chemistry
Soil organic carbon (SOC) is an important indicator of soil health and productivity in agricultural and natural ecosystems. Conventional measurement techniques, such as combustion analysis, yield accurate results but consume time and material resourc... read more