Cardiovascular disease screening in women: leveraging artificial intelligence and digital tools
DA Adedinsewo, AW Pollak, SD Phillips… - Circulation …, 2022 - Am Heart Assoc
Cardiovascular disease remains the leading cause of death in women. Given accumulating
evidence on sex-and gender-based differences in cardiovascular disease development and …
evidence on sex-and gender-based differences in cardiovascular disease development and …
Artificial intelligence in cardiovascular imaging for risk stratification in coronary artery disease
Artificial intelligence (AI) describes the use of computational techniques to perform tasks that
normally require human cognition. Machine learning and deep learning are subfields of AI …
normally require human cognition. Machine learning and deep learning are subfields of AI …
[HTML][HTML] Artificial intelligence capabilities for circular business models: Research synthesis and future agenda
This study explores the interlink between AI capabilities and circular business models
(CBMs) through a literature review. Extant literature reveals that AI can act as efficiency …
(CBMs) through a literature review. Extant literature reveals that AI can act as efficiency …
Why we should not mistake accuracy of medical AI for efficiency
In the medical literature, promising results regarding accuracy of medical AI are presented
as claims for its potential to increase efficiency. This elision of concepts is misleading and …
as claims for its potential to increase efficiency. This elision of concepts is misleading and …
Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
Machine learning has become a key driver of the digital health revolution. That comes with a
fair share of high hopes and hype. We conducted a scoping review on machine learning in …
fair share of high hopes and hype. We conducted a scoping review on machine learning in …
Artificial intelligence in cardiovascular CT: Current status and future implications
Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …
thought processes and learning capacity. The past decade has seen a rapid proliferation of …
Cardiac computed tomography radiomics for the non-invasive assessment of coronary inflammation
Radiomics, via the extraction of quantitative information from conventional radiologic
images, can identify imperceptible imaging biomarkers that can advance the …
images, can identify imperceptible imaging biomarkers that can advance the …
Challenges and burdens in the coronary artery disease care pathway for patients undergoing percutaneous coronary intervention: a contemporary narrative review
M Kodeboina, K Piayda, I Jenniskens, P Vyas… - International Journal of …, 2023 - mdpi.com
Clinical and economic burdens exist within the coronary artery disease (CAD) care pathway
despite advances in diagnosis and treatment and the increasing utilization of percutaneous …
despite advances in diagnosis and treatment and the increasing utilization of percutaneous …
Embracing AI: the imperative tool for echo labs to stay ahead of the curve
CM Vasile, X Iriart - Diagnostics, 2023 - mdpi.com
Advancements in artificial intelligence (AI) have rapidly transformed various sectors, and the
field of echocardiography is no exception. AI-driven technologies hold immense potential to …
field of echocardiography is no exception. AI-driven technologies hold immense potential to …
Radiomic phenotype of epicardial adipose tissue in the prognosis of atrial fibrillation recurrence after catheter ablation in patients with lone atrial fibrillation
J Ilyushenkova, S Sazonova, E Popov… - Journal of …, 2022 - Wiley Online Library
Background Epicardial adipose tissue (EAT) has been considered as one of the probable
triggers of atrial fibrillation (AF). CT‐rediomics is a perspective noninvasive method of …
triggers of atrial fibrillation (AF). CT‐rediomics is a perspective noninvasive method of …