Artificial Intelligence Medical Compendium

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

Showing 23,711 to 23,720 of 217,366 articles

Implementing Generative AI in Pharmacy Experiential Education: A Practical Guide for Preceptors.

Journal of the American College of Clinical Pharmacy : JACCP
Pharmacy preceptors are central to experiential learning, yet there is a lack of guidance on how to integrate generative artificial intelligence (GenAI) into precepting. This paper serves as a practical "how-to" resource, offering actionable strategi... read more 

Automatic Mediation Analysis Under Measurement Error Via Bayesian Machine Learning.

Multivariate behavioral research
This paper considers the problem of causal mediation analysis (CMA) when the outcome, mediator, or both are modeled as latent variables that are measured with error from multiple indicators. Traditional structural equation modeling approaches rely on... read more 

Beyond Linear Risk: A Machine Learning Approach to Understanding Perinatal Depression in Context.

Multivariate behavioral research
The goal of this study was to investigate the contextual nature of prenatal depression (PND) and postpartum depression (PPD). We report an investigation of maternal PND and PPD using nonrandomly clustered data from 8,936 mothers in 16 cohorts in the ... read more 

Solution-Tunable Interfacial Interaction Landscape Governs Anomalous Nanoparticle Diffusion in Liquid-Phase Electron Microscopy.

ACS nano
Understanding how nanoparticles move near liquid-solid interfaces is central to nanoscale transport in catalysis, biology, and soft materials. Here, we uncover the physical mechanisms governing anomalous surface diffusion of PEG-coated gold nanorods ... read more 

A bibliometric review of peripherally inserted central catheters: Knowledge domain mapping and research trends.

Medicine
BACKGROUND: Peripherally inserted central catheters (PICCs) are commonly used vascular access devices in clinical practice. Due to their numerous advantages, PICCs are widely used globally. However, after decades of iteration and clinical application... read more 

Advancements of artificial intelligence in Chinese herbal medicine recommendation: A comprehensive review of data-driven approaches and clinical applications form 2016 to 2025.

Medicine
Chinese herbal medicine recommendations are a core part of personalized traditional Chinese medicine (TCM) diagnosis and treatment. However, the complexity of the multidimensional relationships in syndrome differentiation and treatment, herbal compat... read more 

The association of systemic inflammatory indices with all-cause mortality risks in patients with COPD: A cohort study based on machine learning.

Medicine
This study aimed to comprehensively assess the prognostic value of routinely obtained blood-based systemic inflammatory indices in predicting all-cause mortality among individuals with chronic obstructive pulmonary disease (COPD). This retrospective ... read more 

Identification of COL5A1 and TGFBI as key basement membrane genes and their molecular mechanisms in gestational diabetes mellitus.

Medicine
Gestational diabetes mellitus (GDM) is a common complication during pregnancy, but the role of the basement membrane (BM) in GDM is not well understood. This study aims to investigate BM-related genes in GDM to provide new insights for diagnosis and ... read more 

Controlled Protein Design via Statistical Energy Functions: A Rossmann Fold Case Study.

Journal of chemical information and modeling
The field of protein design has advanced significantly through the integration of computational techniques, including both statistically controlled models and deep learning approaches. While deep learning has gained widespread attention, statistical ... read more 

A few-shot learning method for underwater acoustic target recognition based on generative data augmentationa).

The Journal of the Acoustical Society of America
The recognition of underwater acoustic targets (UATR) is of great significance for the protection of marine diversity and national defense security. The development of deep learning provides new opportunities for UATR, but faces challenges brought by... read more