Artificial Intelligence Medical Compendium

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

Showing 67,841 to 67,850 of 232,834 articles

Comparative performance of machine learning vs classical formulas for LDL-cholesterol calculation.

Clinica e investigacion en arteriosclerosis : publicacion oficial de la Sociedad Espanola de Arteriosclerosis
INTRODUCTION: Low-density lipoprotein cholesterol (LDL-C) is a significant cardiovascular risk factor, as direct measurement is expensive and often unavailable in most clinical laboratories. The Friedewald formula (FD), despite its widespread use sin... read more 

Current state of machine learning implementation in pharmaceutical process modeling for oral solid dosage forms.

International journal of pharmaceutics
Driven by the Food and Drug Administration's Quality-by-Design initiative and the advancements of Industry 4.0, the pharmaceutical industry is transitioning from traditional batch manufacturing to advanced manufacturing. This transition requires resh... read more 

Analysis of the influential factors of depression in the elderly based on CHARLS through partial least squares structural equation and random forest modeling.

Journal of affective disorders
OBJECTIVE: We aimed to explore how influential factors, such as chronic diseases, disability and social support, affect depressive symptoms in older adults, and to analyze the main influential factors on depression in different age groups. METHODS: P... read more 

Mental disorders & self-injurious thoughts and behaviors predict high risk of role impairment among university students - results from the world mental health international college student initiative.

Journal of affective disorders
OBJECTIVE: We examined psychopathological conditions accounting for the highest risk of role impairment among university students. METHOD: Cross-sectional online survey of first-year students (60 universities, 10 countries) assessing role impairment ... read more 

Development of a machine learning-based prediction model for bipolar disorder relapse via integration of 1H-NMR metabolomics and clinical features.

Journal of affective disorders
BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric illness characterized by recurrent episodes of depression and mania, with a global lifetime prevalence of 0.6-1 %. Patients experience high relapse rates despite treatment, while existing pre... read more 

How to Probe Dynamics of Brain Function: A Narrative Review.

Biological psychiatry
The brain is the quintessential complex dynamic system. Static analytic approaches, such as time-averaged connectivity or correlations, remain widely used but cannot characterize dynamic processes that are central to brain function and dysfunction. F... read more 

A semi-automated assessment tool for craniofacial landmarks in CBCT: InVivo7 software.

Journal of dentistry
OBJECTIVES: This study describes and evaluates the functionality of the InVivo7 3D imaging software as a semi-automated tool for identifying craniofacial landmarks in CBCT scans. METHODS: AI-assisted landmark tracing in InVivo7 was used to automatica... read more