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AI in cardiology: doctor says technology does not replace doctors

Translated title. Original: IA na cardiologia: médica diz que tecnologia não substitui médicos

Cardiology experts say AI tools can support diagnosis, prevention, and patient follow-up, while helping expand access to care and health information. They stress that the technology is meant to assist doctors and patients, not replace doctors.

Ultraprocessed food: blood markers linked to disease

Translated title. Original: Ultraprocessad mat: blodmarkörer kopplas till sjukdom

A UK study links blood metabolite patterns to ultraprocessed food consumption and finds associations with later heart disease and type 2 diabetes; patterns explain part of the risk but do not prove causation.

Artificial intelligence driven software systems for cardiovascular disease detection using physiological signals: a systematic review | Artificial Intelligence Review | Springer Nature Link

The title describes a systematic review of AI software for detecting cardiovascular disease from physiological signals. The supplied text contains only the article’s open-access licence terms, not its findings.

Build your own AI model to detect heart failure

Translated title. Original: Bygget egen KI-modell for å avsløre hjertesvikt

An AI model developed at Ahus aims to detect heart failure from EKG data to enable early treatment, with insights from a heart specialist and the project lead.

Puff's heart damage starts within minutes

Translated title. Original: Puff’ın kalp zararı dakikalar içinde başlıyor

A cardiology professor warns that electronic cigarettes (puff) can acutely raise heart rate, blood pressure, and clotting risk, potentially triggering heart attacks even in young people; while evidence is not yet conclusive, biological mechanisms suggest cardiovascular harm and misinformation about safety should be addressed.

AI Advances Precision Cardiovascular Care

AI is advancing cardiovascular care by improving diagnostics, risk prediction, and decision support, with evidence from imaging, radiomics, and explainable models; the goal is practical, interpretable tools integrated into clinical workflows.

How AI Assessed Heart Function from MRI: A New Study

Translated title. Original: Как ИИ оценил работу сердца по МРТ: новое исследование

In a study of 27,382 patients, AI analyzed heart MRI scans much faster than clinicians and predicted mortality slightly better, but its measurements differed from doctors’ and performance varied by condition. The retrospective study did not show that AI improves patient care, and the authors say it still requires clinical testing and specialist oversight.

Older AI-estimated heart age linked to worse health outcomes

In a study of 568 adults, a larger AI-estimated heart age gap was associated with higher cardiovascular- or dementia-related mortality over 20 years. The researchers say larger prospective studies are needed to assess the finding.

Biograph completes first U.S. study with Caristo Diagnostics’ AI-Powered Coronary Inflammation Detection, finding risk in over 42% of asymptomatic patients - Biograph Preventive Health & Longevity

Biograph reports its first U.S. study using Caristo's CaRi-Heart AI to detect coronary inflammation in asymptomatic, low-risk adults, finding inflammation in 42.9% and limited correlation with standard tests, suggesting tissue-level AI analysis reveals risk years before disease onset.

Daniel Ferrer: “I don’t jest when I say we’re going to revolutionize cardiology” - AS.com

Translated title. Original: Daniel Ferrer: “No bromeo cuando digo que vamos a revolucionar la cardiología” - AS.com

Daniel Ferrer, founder and CEO of Cardia by Apolo AI, plans an AI-driven approach to cardiology to speed up heart diagnostics, enable at-home testing, and reduce cardiovascular deaths. He argues for faster screening and prevention to complement medical treatment, while addressing Spain’s slower adoption of AI in healthcare and the broader burden of cardiovascular disease.