AI Medical Compendium

Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification.

Journal of imaging informatics in medicine Aug 4, 2025

Colorectal cancer (CRC) remains one of the most common and lethal malignancies worldwide. The current gold standard for CRC diagnosis relies on histopathological analysis, a time-consuming process subject to inter-observer variability and dependent o... read more

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health Aug 4, 2025

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more

Humans COVID-19 SARS-CoV-2 Spatio-Temporal Analysis Respiratory Tract Infections Virus Diseases

Engagement of networks related to attention, executive function, and sensory processing during parental vs experimenter story-listening: an fMRI study.

Pediatric research Aug 4, 2025

BACKGROUND: Caregivers shape children's reading abilities and neural networks. While joint reading is well-studied, the impact of parental storytelling on reading-related networks (executive function [EF], attention, sensory processing) before and at... read more

Unsupervised machine learning approach to interpret complex lower urinary tract symptoms and their impact on quality of life in adult women.

World journal of urology Aug 4, 2025

PURPOSE: To identify clinically meaningful clusters of lower urinary tract symptoms (LUTS) in adult women using an unsupervised machine learning approach and to examine their associations with patient-centered outcomes, including quality of life (QoL... read more

Humans Machine Learning Female Aged Young Adult Adult Middle Aged Quality of Life Unsupervised Machine Learning Japan Lower Urinary Tract Symptoms

Evaluating microstructural and machine learning predictive models for friction drilling of sustainable snail shell reinforced aluminium matrix composites.

Scientific reports Aug 4, 2025

For lightweight automotive applications, friction drilling is a choice candidate for ecofriendly drilling of aluminium matrix composites (AMCs) with green snail shell reinforcement. The present work investigates the effects of significant process var... read more

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BMC psychiatry Aug 4, 2025

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approac... read more

Humans Machine Learning Algorithms Mental Disorders Biomarkers Female Adult Male Bipolar Disorder Schizophrenia Datasets as Topic Niacin Flushing

Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study.

NPJ digital medicine Aug 4, 2025

For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival... read more

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 4, 2025

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologi... read more

Expanding Domain-Specific Datasets with Stable Diffusion Generative Models for Simulating Myocardial Infarction.

International journal of neural systems Aug 4, 2025

Areas, such as the identification of human activity, have accelerated thanks to the immense development of artificial intelligence (AI). However, the lack of data is a major obstacle to even faster progress. This is particularly true in computer visi... read more

Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines.

Communications medicine Aug 4, 2025

BACKGROUND: Diagnostic imaging studies are increasingly important in the management of acutely presenting patients. However, ordering appropriate imaging studies in the emergency department is a challenging task with a high degree of variability amon... read more

Artificial Intelligence Medical Compendium