AI Medical Compendium

How microplastics affect nitrogen removal in nature-based stormwater infrastructures: A machine learning and meta-analysis study.

Journal of hazardous materials May 8, 2026

Microplastics (MPs) pose a significant threat to ecosystem functions, yet their systematic impact on nitrogen removal in nature-based stormwater infrastructures (NBSIs, e.g., bioretention systems, constructed wetlands) remains poorly understood. This... read more

Understanding Mortality Data: A Step-by-Step Guide to CDC WONDER, Joinpoint Analysis, and Forecasting Models.

Journal of epidemiology and global health May 8, 2026

BACKGROUND: The use of mortality data in public health research has surged with the rise of open-access databases such as CDC WONDER. However, caution is needed when defining the relationship between ICD codes and when transitioning from older to new... read more

Couinaud segment-aware deep learning on point clouds for major liver resection planning.

International journal of computer assisted radiology and surgery May 8, 2026

PURPOSE: In this study, we address the problem of automatic liver resection planning for major surgical procedures, including hemi-hepatectomy and extended hemi-hepatectomy, using deep learning. Motivated by clinical practice, where Couinaud liver se... read more

A hybrid machine learning approach to identify potential green cover area for bio-physical suitability mapping in the western semi-arid Rarh region of West Bengal, Purulia.

Environmental monitoring and assessment May 8, 2026

Forest cover restoration is urgently needed in a semi-arid district of West Bengal, where land degradation endangers environmental stability and community welfare. The present study introduces and validates a robust, data-driven framework using machi... read more

Framework for artificial intelligence implementation research in healthcare: synthesizing current evidence on barriers and facilitators.

NPJ digital medicine May 8, 2026

There is a growing number of artificial intelligence (AI) models; however, few have made it into routine clinical practice to date. We describe the synthesis of existing knowledge on the barriers to AI implementation in healthcare settings into a con... read more

Spatial concordance metrics and related risk factors of brain-peripheral barrier axes: unveiling distinct concordance patterns for mental and neurological axes.

Molecular psychiatry May 8, 2026

Numerous studies have documented bidirectional interactions between the central nervous system and barrier organs (skin, gut, and lung). While genome-wide association studies have revealed shared genetic factors across brain-peripheral barrier axes, ... read more

dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics.

Bioinformatics (Oxford, England) May 8, 2026

SUMMARY: This study presents dAMN, a genome-scale neural-mechanistic hybrid model that combines neural networks with dynamic flux balance analysis to predict bacterial growth dynamics across diverse nutrient environments. Using a residual network arc... read more

Diagnostic accuracy of artificial intelligence versus 263 pediatric clinicians for childhood exanthems.

European journal of pediatrics May 8, 2026

Pediatric exanthematous diseases pose diagnostic challenges because clinical presentations overlap. To determine whether current artificial intelligence (AI) models achieve diagnostic accuracy within or above the performance distribution of pediatric... read more

Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.

The Gerontologist May 8, 2026

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older adults' perceptions on the application of AI. We explored older adults' perceptions of current commu... read more

Arctic deep-sea hydrothermal microbiomes as a natural niche for novel antimicrobial peptides.

BMC microbiology May 8, 2026

BACKGROUND: The escalating threat of antimicrobial resistance (AMR) has created an urgent need for new antimicrobial agents. Antimicrobial peptides (AMPs) are promising alternatives to conventional antibiotics due to their broad-spectrum activity and... read more

Artificial Intelligence Medical Compendium