Results 31 to 40 of about 2,170 (177)

Improved Prediction of Cardiovascular Events Using Serial Cardio‐Ankle Vascular Index (CAVI) Measurements: A 10‐Year Prospective Cohort Study

Clinical Cardiology, Volume 49, Issue 6, June 2026.
Serial CAVI measurements better predict long‐term CV events than a single baseline value, particularly for composite events, non‐fatal stroke, and CV death. In contrast, baseline CAVI showed weaker associations, with statistical significance observed only for non‐fatal CAD.
Thosaphol Limpijankit, Prin Vathesatogkit, Dujrudee Matchariyakul, Nisakorn Thongmung, Sukanya Siriyotha, Ammarin Thakkinstian, Piyamitr Sritara   +6 more
wiley   +1 more source

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

IEEE Access
Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart disease (VHD) is effective in reducing critical cardiac problems and
Ayappasamy Kannan, Manob Jyoti Saikia, Sushant Kumar, Sumit Datta   +3 more
doaj   +1 more source

Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives

Journal of Evaluation in Clinical Practice, Volume 32, Issue 4, June 2026.
ABSTRACT Background Artificial intelligence (AI) is rapidly transforming medicine through advanced diagnostic, prognostic, and decision‐support systems. Objective To summarize the fundamental concepts, clinical applications, ethical issues, and future perspectives of AI in healthcare.
Marco Cascella, Maria Teresa Avella, Marcello Di Pumpo, Enrico Sebastiani, Martino Bussa, Alessio Tagliaferri, Barbara Brunetti, Pierluigi Meloni, Elisa Bianchini, Paolo Graziani, Federico Faustini, Guido D'Onofrio, David Manetta, Cristina Angela Catania, Cristina Imbesi, Cesare Pane, Roberta Fusco, Vincenza Granata   +17 more
wiley   +1 more source

Phonocardiogram Signal Based Multi-Class Cardiac Diagnostic Decision Support System

IEEE Access, 2021
A Phonocardiogram (PCG) signal represents murmurs and sounds signals made by vibrations caused for the period of a cardiac cycle. Acoustic wave generated through the beat of the cardiac cycle propagates through the chest wall.
Shamik Tiwari, Anurag Jain, Akhilesh Kumar Sharma, Khaled Mohamad Almustafa   +3 more
doaj   +1 more source

Exploring Glycocalyx shedding markers: A comparative analysis of plasma markers among premenopausal and postmenopausal women

Physiological Reports, Volume 14, Issue 12, June 2026.
Abstract The endothelial glycocalyx (eGC) is a protein‐rich, hairlike structure covering the luminal surface of endothelial cells, vital for vascular health. Aging and cardiovascular disease (CVD) can compromise eGC integrity, potentially preceding conventional indicators of vascular dysfunction such as reduced endothelium‐dependent vasodilation and ...
Mounica Ayyalasomayajula, David N. Proctor, Janhavi J. Damani, Christine Bowlus, Jigar Gosalia, Jocelyn M. Spicuzza   +5 more
wiley   +1 more source

Quantitative Confounder Analysis of Electrocardiogram Signals in Cardiac Magnetic Resonance at 1.5, 3 and 7 T—Assessing Standardized Electrode Positions and Sequence Types—Towards Quality Assurance

Journal of Magnetic Resonance Imaging, Volume 63, Issue 4, Page 1140-1154, April 2026.
ABSTRACT Background The electrocardiogram (ECG) used for gating in cardiac MRI may be compromised by multiple confounders inside the scanner bore. Purpose To quantify the influence of magnetic field strengths (1.5 T/3 T/7 T), standardized electrode positions, and imaging sequences on ECG signals used for gating. Study Type Prospective.
Richard Hickstein, Stephanie Wiesemann, Darian Viezzer, Denise Kleindienst, Teodora Chitiboi, Bogdan Andrei Gheorghita, Jens Wetzl, Thomas Hadler, Sebastian Dietrich, Sebastian Schmitter, Jeanette Schulz‐Menger   +10 more
wiley   +1 more source

Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals

IEEE Access, 2020
Phonocardigraphy (PCG) is the graphical representation of heart sounds. The PCG signal contains useful information about the functionality and the condition of the heart. It also provides an early indication of potential cardiac abnormalities. Extracting
Tanzil Hoque Chowdhury, Khem Narayan Poudel, Yating Hu   +2 more
doaj   +1 more source

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models

Applied Sciences, 2023
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important ...
Jin-A Lee, Keun-Chang Kwak
doaj   +1 more source

Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review

Journal of Intelligent Medicine, Volume 3, Issue 1, Page 8-25, March 2026.
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar, Vanessa Ali, Laiba Shamim, Imshaal Musharaf, Rabia Hafsa, Muhammad Umar Ahsan, Osama Ahmad, Lamea Bint Sabhan, Muhammad Saeed, Somaiya Ahmed, Sana Iftikhar, Noor Ul Ain   +11 more
wiley   +1 more source

Augmented Phonocardiogram Acquisition and Analysis [PDF]

, 2011
Heart auscultation (the interpretation of heart sounds by a physician) is a widely used screening method for heart disease. It is well documented, however, that with the exception of expert cardiologists, physicians' auscultation skills are limited. It has also been shown that standard training methods do little to improve these skills.
Nancy E. Reed, Todd R. Reed
openaire   +1 more source