Artificial Intelligence Medical Compendium

Whole Slide Images (WSIs) are crucial in modern pathology, offering high-resolution data for accurate diagnosis, treatment planning, and research. Deep learning methods have recently been proposed to harness this data by extracting and interpreting c... read more 

DNA Fluorescence In Situ Hybridization (DNA FISH) is an essential technique to study chromosome biology and genetics, enabling precise visualization of specific genomic loci to study structural abnormalities, gene mapping, and chromosomal rearrangeme... read more 

Mechanistic models for nitrous oxide (N2O) emissions from wastewater treatment plants often suffer from over-parameterization, while machine-learning lacks interpretability. To address these limitations, this study introduces a novel explainable hybr... read more 

Hydrogen is recognized as an environmentally sustainable energy source. Lignocellulosic biomass (LB) offers a carbon-neutral pathway for hydrogen production. However, overcoming biomass recalcitrance, optimizing process efficiency, and aligning with ... read more 

Pollen is a major aeroallergen and an important environmental health concern, with its concentrations strongly modulated by climate, air pollution, and vegetation species composition and abundance. This study developed and compared spatiotemporal and... read more 

BACKGROUND AND OBJECTIVE: Relapse in Multiple Myeloma, driven by therapy-resistant cancer stem cells, necessitates the development of more specific and accurate prognostic models. Existing stemness indices often lack specificity for the unique biolog... read more 

BACKGROUND: This letter addresses methodological aspects of a study that evaluated a large language model's responses to frequently asked patient questions regarding meniscus surgery. The original research collected common questions from orthopedic r... read more 

Thyroid eye disease (TED), the most common adult orbital disease, can significantly impair patients' quality of life. Currently, effective diagnostic and predictive models for TED remain limited, making early intervention and personalized treatment f... read more 

Microalgae are essential components of marine ecosystems and have significant industrial applications. However, their rapid identification, especially HAB species, poses a challenge. This study constructed a comprehensive microalgae image database an... read more 

To evaluate the diagnostic performance, methodological quality, and clinical feasibility of ¹⁸F-FDG PET/CT-based radiomics machine learning models for predicting PD-L1 expression in non-small cell lung cancer (NSCLC). Systematic searches of PubMed, S... read more