Artificial Intelligence Medical Compendium

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

Showing 39,191 to 39,200 of 223,737 articles

Integrating Artificial Intelligence with Analytical Techniques for Enhanced Microplastics Analysis.

Critical reviews in analytical chemistry
The widespread presence of microplastics (MPs) in environmental matrices poses significant ecological and human health risks due to their persistence and bioaccumulation. Conventional detection methods, including Raman, FTIR, and near-infrared spectr... read more 

Prediction of depressive episodes based on clinical features, cognitive characteristics, inflammation-related proteins, and EEG data.

Translational psychiatry
The absence of clinically validated biomarkers and objective diagnostic protocols hinders the accurate and effective diagnosis of depression. Although machine learning has been increasingly explored in psychiatric diagnosis, there remains a pressing ... read more 

EXPRESS: Identification of Acetylation-Related Molecular Signatures in Knee Osteoarthritis Patients with Significant Response to Warm-Needle Acupuncture Using Machine-Learning Approaches.

Molecular pain
OBJECTIVE: This study aims to delineate remodeling effects of acetylation-related gene expression in knee osteoarthritis (KOA) patients markedly responsive to warm-needle acupuncture (WNA) and identify key genes and immunoregulatory mechanisms. METHO... read more 

Machine learning-based predictive models and subtypes patterns in peripheral blood of schizophrenia based on a machine learning computational framework.

Schizophrenia (Heidelberg, Germany)
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diagnosis and effective therapy remains a significant ... read more 

BODIES: BOdy shape parameter and 3D meshes of Individuals basEd on SUPR.

Scientific data
Today, an increasing number of applications in domains such as cultural heritage, healthcare, education, entertainment, and fashion require high-fidelity 3D avatars. However, generating avatars that faithfully reproduce users' bodies through modeling... read more 

2D Multimodal Image Collection for Fluorescence Prediction from Transmitted Light Microscopy.

Scientific data
We present the Light My Cells Database, a large-scale open-access collection comprising 2,574 acquisition sets and 56,984 microscopy 2D images designed to support the development of machine learning models for fluorescence prediction from transmitted... read more 

Improving severity grading of chemotherapy-induced myelosuppression in AML via data-driven and model-based deep learning.

NPJ systems biology and applications
Chemotherapy-induced myelosuppression in acute myeloid leukemia (AML) frequently leads to life-threatening complications, yet current assessment standards lack the specificity required for personalized risk prediction. We present MM-AI-AML, a two-sta... read more 

Breaking the rate limiting barrier in lithium||sulfur batteries via spin state engineering.

Nature communications
Elucidating the mechanisms governing sulfur redox reactions is important for the development of high-energy-density Li||S batteries. Despite progress, the kinetics of the solid-solid conversion from Li2S2 to Li2S remain poorly understood. This work d... read more 

A Dataset of University Students' Stress and Anxiety Levels based on Questionnaires and Wearable Sensors.

Scientific data
Mental health issues such as stress and anxiety are highly prevalent among university students, often affecting their academic performance and overall well-being. Understanding these conditions through objective, real-world data is essential for deve... read more