AI Medical Compendium

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

Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.

Nature communications Aug 6, 2025

Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently emerged as a powerful tool for accelerating processes ranging from queuing systems to molecular simulations. However, its usefulness is severely limite... read more

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

Probiotics and antimicrobial proteins Aug 6, 2025

The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and influence physiological processes. This study investigates the effects of Bifidobacterium, isolated from skin microbiota, on glucagon-like peptide-1 ... read more

Adaptive context biasing in transformer-based ASR systems.

Scientific reports Aug 6, 2025

With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more

Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design.

Annals of surgery Aug 6, 2025

OBJECTIVE: This study aimed to assess artificial intelligence (AI)-based synthetic data (SD) generation technology in surgery, evaluating the accuracy of the generated data and comparing the derived outcomes with real-world data. read more

Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review.

IEEE journal of biomedical and health informatics Aug 6, 2025

As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show promising results. This systematic review examines studies uti... read more

How Does Bilateral Ear Symmetry Affect Deep Ear Features?

arXiv Aug 6, 2025

Ear recognition has gained attention as a reliable biometric technique due to the distinctive characteristics of human ears. With the increasing availability of large-scale datasets, convolutional neural networks (CNNs) have been widely adopted to ... read more

Computer Vision and Pattern Recognition

Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.

Scientific reports Aug 6, 2025

Psychogenic erectile dysfunction (pED) is a prevalent male sexual dysfunction lacking organic etiology. Endeavors have been made in previous studies to disclose the brain pathological mechanisms of pED. However, the cortical morphological characteris... read more

Humans Adult Male Middle Aged Case-Control Studies Magnetic Resonance Imaging Gray Matter Erectile Dysfunction

CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusion

arXiv Aug 6, 2025

This study presents CORE-ReID V2, an enhanced framework building upon CORE-ReID. The new framework extends its predecessor by addressing Unsupervised Domain Adaptation (UDA) challenges in Person ReID and Vehicle ReID, with further applicability to ... read more

Computer Vision and Pattern Recognition Artificial Intelligence

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

International journal of injury control and safety promotion Aug 6, 2025

A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Although many studies have analyzed crash severity at HRGCs, they often rely on national datasets or a narrow set of variables, frequently overlooking region... read more

Artificial Intelligence Medical Compendium