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Artificial Intelligence in Cardiology: What You Need to Know in 2024
Author(s): Ami Bhatt Added: 1 year ago
ACC 2024 — Dr Ami B Bhatt, Chief Innovation Officer of ACC, joins us to highlight key information regarding artificial intelligence innovations in cardiology in 2024.Dr Bhatt discusses the potential progress and innovation that artificial intelligence can provide in clinical medicine, including risk predictions, artificial intelligence use in EKGs, large language models and virtual learning… View more

Guidelines & Statements

Imaging & Diagnostics
Ethical and Regulatory Frameworks Post-AI Act in Clinical Research
Author(s): Andrea Barucci , Valentina Colcelli , Salvatore De Masi , et al Added: 1 month ago

Digital Health

Guidelines & Statements
AI-ECG Enhances Heart Failure Risk Prediction
Added: 5 days ago Source:  Arrhythmia Academy
Artificial intelligence applied to electrocardiograms (ECG-AI) may offer a scalable way to identify individuals at high risk of developing heart failure (HF), potentially improving on current clinical risk estimators, according to a new pooled cohort analysis from the HeartShare/Accelerating Medicines Partnership (AMP) Heart Failure program.¹The study aimed to assess whether ECG-AI models… View more

Electrophysiology & Arrhythmia

Heart Failure
Abhinav Kandala
Abhinav is a 4th Year Medical Student at University College London (UCL), working closely with both University College Hospital and St. Bartholomew’s Hospital, under Dr Arjun Ghosh and Dr Aruni Ghose. His research mainly focuses on real-world evidence of the novel speciality Cardio-Oncology with a special interest in emerging therapies, predictive models and artificial intelligence. View more
Portrait photo of Dr Ivan Olier
Job title: Reader in Artificial Intelligence and Data Science; Head of Data Science Research Centre
I am the Head of the Data Science Research Centre and a Reader in Artificial Intelligence and Data Science. My research interests lie in algorithms for Artificial Intelligence, with a specific focus on Causal AI, Digital Twins, and the modelling of large-scale, highly structured, and/or relational data (including multivariate time series, graphs, networks, etc.). My research finds its… View more
Job title: Faculty (Artificial Intelligence in Medicine)
AHA 25: The AI-SCREEN-CA Study
Author(s): Nobuyuki Kagiyama Added: 4 months ago
AHA Scientific Sessions 2025 - Prof Nobuyuki Kagiyama (Juntendo University School of Medicine, Tokyo, JP) joins us to share findings from the AI-SCREEN-CA study investigating whether an artificial intelligence-based software for checking real-world echocardiography can improve the early and accurate detection of hidden cardiac amyloidosis.Findings showed that this AI software identified around 5%… View more

Imaging & Diagnostics

Heart Failure
AI and Digital Health in Cardiology
Author(s): Dipti Itchhaporia , Francisco Lopez-Jimenez , David Ouyang Added: 1 year ago
In this episode of the "Innovations in Cardiology" series, host Dr Dipti Itchhaporia welcomes two leading experts in artificial intelligence in cardiology: Dr David Ouyang from Cedars-Sinai Medical Center in Los Angeles, and Dr Francisco Lopez-Jiminez from the Mayo Clinic in Rochester, MN.Together, they explore the role of artificial intelligence in cardiology, from diagnostics to personalized… View more

Digital Health
EHRA 24: AI-Enabled Single-Lead ECG Can Unmask Conduction Tissue Disease
Author(s): Laurent Fiorina Added: 1 year ago
EHRA 24 - In this short interview, we are joined by Dr Laurent Fiorina (Cardiovascular Institute Paris-Sud (ICPS), FR) joins us to discuss the findings from a clinical investigation into diagnosing conduction tissue disease using an AI-enabled single-lead coronary ECG device.This observational, prospective clinical trial aims to investigate the performance of an artificial intelligence algorithm… View more

Imaging & Diagnostics

Electrophysiology & Arrhythmia
Value Creation Through AI and Cardiovascular Imaging
Author(s): David Playford , Kate Hanneman Added: 2 years ago
In this video, Dr Kate Hanneman (University of Toronto, CA) and Prof David Playford (Hollywood Private Hospital, AU) sit down to discuss the main talking points raised by the recent AHA scientific statement, "Value Creation Through Artificial Intelligence and Cardiovascular Imaging".Recorded remotely from Toronto and Nedlands, 2024.Editor: Jordan RanceVideo Specialist: Dan Brent View more

Digital Health