AI Medical Compendium

Function of chemokines in embryo implantation.

Placenta Aug 6, 2025

Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted reproduction, implantation failure remains a key bottleneck limiting clinical pregnancy rates, with it... read more

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study.

Journal of medical Internet research Aug 6, 2025

BACKGROUND: Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, with prevalence expected to exceed 12 million by 2040, which poses significant health care and societal challenges. Artificial intelligence (AI) system... read more

Humans Artificial Intelligence Trust Qualitative Research Parkinson Disease Stakeholder Participation

Identification of copper related biomarkers in breast cancer using machine learning.

Discover oncology Aug 6, 2025

BACKGROUND: Breast cancer is the most prevalent and deadly cancer among women globally, necessitating more effective diagnostic and therapeutic approaches. This study aims to explore new treatment targets and diagnostic tools. read more

Artificial intelligence in drug design: why a 'one-size-fits-all' approach remains out of reach.

Expert opinion on drug discovery Aug 6, 2025

INTRODUCTION: Advances in artificial intelligence (AI) have transformed the drug design and discovery process, introducing novel methods that can reduce costs, increase success rates, and shorten development timelines. However, due to the complexity ... read more

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

Journal of the American Society of Nephrology : JASN Aug 6, 2025

BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal medical management and improve outcomes. We aimed to validate the Klinrisk machine learning model for prediction of CKD progression in large US commerci... read more

Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan's resource-limited settings.

BMC health services research Aug 6, 2025

BACKGROUND: Artificial Intelligence (AI) can empower clinicians to make data-driven decisions, treatments and streamline administrative tasks. However, it is vital to understand their perception towards AI for seamless implementation in practice. The... read more

Humans Artificial Intelligence Female Adult Cross-Sectional Studies Male Middle Aged Surveys and Questionnaires Attitude of Health Personnel Pakistan Dentists Resource-Limited Settings

Unveiling Twist Domains in Monolayer MoS through 4D-STEM and Unsupervised Machine Learning.

Small methods Aug 6, 2025

Dichalcogenides, such as molybdenum disulfide (MoS), are being studied extensively due to their 2D feature and various material properties. Although crystal structures are critical for applications, conventional atomic structure analyses have a limit... read more

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements

arXiv Aug 6, 2025

The present work proposes a Deep Learning architecture for the prediction of various consumer choice behaviors from time series of raw gaze or eye fixations on images of the decision environment, for which currently no foundational models are avail... read more

Neural and Evolutionary Computing

Beyond the type 1 pattern: comprehensive risk stratification in Brugada syndrome.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Aug 6, 2025

Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of sudden cardiac death, particularly due to ventricular arrhythmias in structurally normal hearts. Affecting approximately 1 in 2,000 individuals, BrS ... read more

Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data.

Environmental monitoring and assessment Aug 6, 2025

Crop classification during the early stages is challenging because of the striking similarity in spectral and texture features among various crops. To improve classification accuracy, this study proposes a novel fusion-based deep learning approach. T... read more

Neural Networks, Computer Machine Learning Deep Learning Environmental Monitoring Support Vector Machine Crops, Agricultural Satellite Imagery

Artificial Intelligence Medical Compendium