AIMC Topic: Humans

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Evaluating the Effectiveness of Generative AI for the Creation of Patient Education Materials on Coronary Heart Disease: A Comparative Study.

JMIR formative research
BACKGROUND: Generative artificial intelligence (AI) has shown great potential in various fields, including health care. However, its application for developing patient education materials (PEMs), particularly for those with coronary heart disease (CH...

Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review.

Journal of medical Internet research
BACKGROUND: Geographic atrophy (GA), the endpoint of dry age-related macular degeneration (AMD), is irreversible. The recent approval by the Food and Drug Administration of a complement component 3 inhibitor marks a significant breakthrough, highligh...

Benchmarking retrieval-augmented large language models in biomedical NLP: Application, robustness, and self-awareness.

Science advances
To reduce hallucinations in large language models (LLMs), retrieval-augmented LLMs (RALs) retrieve supporting knowledge from external databases. However, their performance on biomedical natural language processing (NLP) tasks remains underexplored. W...

Rapid cancer diagnosis using deep learning-powered label-free subcellular-resolution photoacoustic histology.

Science advances
Traditional hematoxylin and eosin staining in formalin-fixed paraffin-embedded sections, while essential for diagnostic pathology, is time-consuming, labor intensive, and prone to artifacts that can obscure critical histological details. Label-free u...

Multi-omics strategies for biomarker discovery and application in personalized oncology.

Molecular biomedicine
Multi-omics strategies, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized biomarker discovery and enabled novel applications in personalized oncology. Despite rapid technological developments, a comprehensive sy...

Worse survival despite indolent features for triple-negative invasive lobular carcinoma: a Swedish nationwide registry-based study.

Breast cancer research and treatment
PURPOSE: To evaluate differences in clinical outcomes, treatments received, recurrence, and sociodemographic characteristics in patients with triple-negative breast cancer (TNBC) classified as invasive lobular carcinoma (TNBC-ILC) or invasive carcino...

Microorganisms, Microbial Metabolites and Precision Nutrition: Targeting the Gut-Skin Axis for Immune Microenvironment Remodeling in Atopic Dermatitis.

Clinical reviews in allergy & immunology
Atopic dermatitis (AD), characterized by skin barrier dysfunction and microbiota dysbiosis, is closely linked to immune microenvironment imbalance. Growing evidence highlights the crucial role of microorganisms and their metabolites in immune regulat...

Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.

Lasers in medical science
PURPOSE: Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory lung disease that significantly impacts global health. This study aims to comprehensively analyze global trends and research hotspots in the application of artificial...

Machine learning-based fabrication of phytogenic NiO nanoparticles for anticancer activity in HepG2 Cell Culture.

Journal of materials science. Materials in medicine
Metal oxide nanomaterials play a central role in biomedical applications due to their unique physicochemical properties. In particular, various treatment methods such as drug delivery, hyperthermia therapy, radiation, and chemotherapy are used for th...

Development and validation of a machine learning-based prognostic model for gastric cancer: a multicenter retrospective study.

Langenbeck's archives of surgery
BACKGROUND: Machine learning has emerged as a promising tool for survival prediction in various diseases; however, its application and external validation in real-world gastric cancer populations remain limited.