Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

T Shaik, X Tao, N Higgins, L Li… - … : Data Mining and …, 2023 - Wiley Online Library
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …

[HTML][HTML] A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction

KP Kresoja, M Unterhuber, R Wachter, H Thiele… - Basic research in …, 2023 - Springer
A modern-day physician is faced with a vast abundance of clinical and scientific data, by far
surpassing the capabilities of the human mind. Until the last decade, advances in data …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

[HTML][HTML] Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for …

W DeGroat, H Abdelhalim, K Patel, D Mendhe… - Scientific reports, 2024 - nature.com
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …

[HTML][HTML] Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning …

V Venkat, H Abdelhalim, W DeGroat, S Zeeshan… - Genomics, 2023 - Elsevier
Cardiovascular disease (CVD) is the leading cause of mortality and loss of disability
adjusted life years (DALYs) globally. CVDs like Heart Failure (HF) and Atrial Fibrillation (AF) …

[Retracted] An Artificial Intelligence‐Based Bio‐Medical Stroke Prediction and Analytical System Using a Machine Learning Approach

R Pitchai, B Dappuri, PV Pramila… - Computational …, 2022 - Wiley Online Library
Stroke‐related disabilities can have a major negative effect on the economic well‐being of
the person. When left untreated, a stroke can be fatal. According to the findings of this study …

[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology

M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …

Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete's heart?

S Palermi, M Vecchiato, A Saglietto… - European Journal of …, 2024 - academic.oup.com
The integration of artificial intelligence (AI) technologies is evolving in different fields of
cardiology and in particular in sports cardiology. Artificial intelligence offers significant …

[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review

NN Khanna, M Singh, M Maindarkar… - Journal of Korean …, 2023 - synapse.koreamed.org
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …

Protecting patient safety and privacy in the era of artificial intelligence

A Alonso, JJ Siracuse - Seminars in Vascular Surgery, 2023 - Elsevier
The promise of artificial intelligence (AI) in healthcare has propelled a significant uptrend in
the number of clinical trials in AI [1] and the global market spending in this novel …