Artificial Intelligence Medical Compendium

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

Showing 70,461 to 70,470 of 234,131 articles

From Likert Scales to Large Language Models: Validating a Computational Approach to Psychological Assessment of Future Self-Continuity.

Journal of personality assessment
Recent advances in Large Language Models (LLMs) offer new assessment approaches that can help overcome the limitations of traditional Likert-item scales in measuring complex, subjective constructs. To demonstrate this, we introduce and validate a nov... read more 

Systematic post-translational modification genome wide identifies therapeutic targets for Alzheimer's disease: evidence from multi-cohort analysis.

The journal of prevention of Alzheimer's disease
BACKGROUND: The rapid increase in the incidence of Alzheimer's disease (AD) has raised concerns, given its profound effects on both society and the economy. Despite extensive research efforts in this area, there are no existing treatments that have t... read more 

Malignant pleural mesothelioma classification and survival prediction with CT imaging using ResNet.

European radiology
OBJECTIVES: This study aims to achieve accurate differentiation of malignant pleural mesothelioma (MPM) from metastatic pleural disease (MPD) and to predict the overall survival of MPM. MATERIALS AND METHODS: This IRB-approved retrospective study inc... read more 

Multi-omics technologies: Novel tools and methods for assessing nerve injury and regeneration.

Neural regeneration research
Recently, with the rapid advancement of multi-omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, new tools and approaches have been introduced for studying nerve injury and regeneration. This review highlights the ... read more 

Retinal proteomics in neurodegeneration: Insights into ocular and brain disorders.

Neural regeneration research
Dysregulated proteome in the retina represents a promising avenue for discovering novel therapeutic targets and noninvasive diagnostic biomarkers for neurodegenerative diseases with ocular manifestations. Advanced mass spectrometry-based proteomics t... read more 

Single-Cell and Machine Learning Analysis Reveal Novel Inflammatory Macrophage Subtypes and Biomarkers in Periodontitis.

International dental journal
BACKGROUND: Periodontitis (PD) is a chronic inflammatory disease marked by immune dysregulation and progressive tissue destruction. Macrophages play a pivotal role in PD pathogenesis; however, their heterogeneity, molecular characteristics and clinic... read more 

Construction and optimization of a LAMP-based diagnostic platform for acute hepatopancreatic necrosis disease in Penaeus vannamei.

Journal of invertebrate pathology
Acute hepatopancreatic necrosis disease (AHPND) poses a major threat to global shrimp aquaculture, especially impacting Penaeus vannamei. Given the high cost of prevention and the absence of effective treatments, the most efficient way to control AHP... read more 

From Big to Small: Emerging Methods for Enhancing Precision Psychiatry Through Transfer Learning.

Biological psychiatry
Identifying reliable links between individual differences in neurobiological features and differences in symptom profiles or treatment outcomes is a primary goal of precision psychiatry. In this context, brain-behavior predictive modeling has emerged... read more 

Artificial intelligence for detection of age-related macular degeneration based on fundus images: A systematic review.

Survey of ophthalmology
Age-related macular degeneration (AMD) is one of the most common types of eye diseases that generally affect the elderly population over 50 years of age. The effects of AMD on the quality of vision and life are devastating. We systematically review a... read more