Classifying Abnormal Arterial Pulse Patterns in Cardiovascular Diseases: A Photoplethysmography and Machine Learning Approach.

MM Hamza, B Noreddine, BZ Abdeslem… - Traitement du …, 2024 - search.ebscohost.com
In the realm of cardiovascular disease (CVD) diagnostics, the morphological changes in
arterial blood pressure (ABP) attributable to various pathologies have long been recognized …

An Empirical Study on the Psychological Improvement Effects and Satisfaction of Korean Traditional Painting Generative AI

O Kwon, S Bae, D Lee, K Lee, R Choi… - … in Information and …, 2024 - ieeexplore.ieee.org
Recent advancements in generative AI technology have made it possible to generate art
pieces for traditional Korean painting as well. Visual image generation through generative AI …

Convolutional Neural Networks for the Segmentation of Coronary Arteries

M Anic, D Fotiadis, V Potsika - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
Cardiovascular disease is one of the leading causes of death worldwide resulting an
estimated of 523 million people with cardiovascular disease in 2020 while 19 million deaths …

[PDF][PDF] Recent developments in the diagnosis, treatment, and management of cardiovascular diseases through artificial intelligence and other innovative approaches

TA Addissouky, I El Tantawy El Sayed, MMA Ali… - J Biomed …, 2024 - probiologists.com
Background Cardiovascular diseases (CVDs) are a group of disorders that affect the heart
and blood vessels, including coronary artery disease, heart failure, and stroke. CVDs are a …

Pelican optimized extreme learning machine based prognosis of heart failure using textural patterns in CMR images

M Muthulakshmi, K Ashwini, R Jansi… - … IEEE Technology & …, 2023 - ieeexplore.ieee.org
One of the abnormal cardiovascular conditions with the greatest rate of increase is heart
failure (HF). There is a lot of correlation in the exterior symptoms observed that are typically …

[PDF][PDF] Enhancing Cardiovascular Disease Risk Prediction Using Resampling and Machine Learning

A Kiran, MK Khan, MD Khan, F Liaquat - 2024 - researchgate.net
Revised| May 11, 2024, Accepted| May 17, 2024, Published| May 28, 2024. ardiovascular
Disease (CVD) remains a critical health concern around the globe, requiring precise risk …

[PDF][PDF] Breast Cancer Dataset, Classification and Detection Using Deep Learning. Healthcare 2022, 10, 2395

MS Iqbal, W Ahmad, R Alizadehsani, S Hussain… - 2022 - researchgate.net
Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …

Accurate Diagnosis by Magnetic Resonance Imaging Using Deep Learning

A Rengarajan, Z Ahmed… - … Computing and Wireless …, 2024 - ieeexplore.ieee.org
deep mastering has revolutionized the field of scientific imaging, providing practical affected
person prognosis competencies. A current example is deep studying for Magnetic …

Multimodal Ai for the Automatic Screening of Cardiovascular Diseases Based on Nocturnal Physiological Signals

Y Kim, TG Jang, SY Park, HY Park, J Lee… - Available at SSRN … - papers.ssrn.com
Abstract Backgrounds: Cardiovascular diseases (CVDs) are a major cause of death
worldwide. Early CVD detection and diagnosis are important for primary and secondary …

Computer Vision (CV)-Aided Medical Diagnosis for Cardiovascular Disease Detection

N Shrotriya, P Thakore - Computer Vision and AI-Integrated IoT …, 2024 - taylorfrancis.com
Cardiovascular diseases (CVDs) are a major cause of morbidity and mortality worldwide.
Early detection and accurate diagnosis of CVDs are critical for effective treatment and …