Bradyarrhythmia is a common and potentially serious cause of syncope, often difficult to detect due to its intermittent nature. Traditional ECG monitoring methods either provide low diagnostic ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

A Hybrid Deep Learning Model using ViT and EfficientNetB0 for skin lesion classification on the HAM10000 dataset. It leverages data augmentation and early stopping to improve accuracy and reduce ...

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, ...

1 School of Electronic Information and Artificial Intelligence, Leshan Normal University, Leshan, China. 2 Sichuan Prefabricated Cabin Power Equipment Engineering Technology Research Center, Leshan, ...

Abstract: Skin diseases are common disease mostly ignored but sometimes it becomes dangerous for human being. Ignoring this is not a good sign, but most of the time it's normal to see any skin disease ...

aDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Special Administrative Region, China ...

In a recent study published in the journal Nature, a group of researchers investigated whether an artificial intelligence (AI) electrocardiogram (ECG) model can reliably detect diverse structural ...

Dogs trained to detect Parkinson’s disease using scent have shown remarkable accuracy in new research. In a double-blind trial, they identified skin swabs from people with Parkinson’s with up to 80% ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...