[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs
Background Coronary artery calcium (CAC) score is a clinically validated marker of
cardiovascular disease risk. We developed and validated a novel cardiovascular risk …
cardiovascular disease risk. We developed and validated a novel cardiovascular risk …
Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …
recently from healthcare systems. DL has been widely applied to detect and classify major …
AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
Using artificial intelligence to analyse the retinal vascular network: the future of cardiovascular risk assessment based on oculomics? A narrative review
The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …
Understanding the underlying mechanisms and improving identification of people with a …
Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions
DYL Wong, MC Lam, A Ran… - Current Opinion in …, 2022 - journals.lww.com
Artificial intelligence based retinal microvasculature analysis may supplement existing CVD
risk stratification approach. Although technical and socioeconomic challenges remain, we …
risk stratification approach. Although technical and socioeconomic challenges remain, we …
Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade
M Abdollahi, A Jafarizadeh… - … : Data Mining and …, 2024 - Wiley Online Library
Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial
intelligence (AI) methods—in particular, deep learning (DL)—has been on the rise lately for …
intelligence (AI) methods—in particular, deep learning (DL)—has been on the rise lately for …
An overview of deep-learning-based methods for cardiovascular risk assessment with retinal images
RG Barriada, D Masip - Diagnostics, 2022 - mdpi.com
Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …
Application of deep learning to retinal-image-based oculomics for evaluation of systemic health: a review
The retina is a window to the human body. Oculomics is the study of the correlations
between ophthalmic biomarkers and systemic health or disease states. Deep learning (DL) …
between ophthalmic biomarkers and systemic health or disease states. Deep learning (DL) …