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American Heart Association

Showing 0 Abstracts.

Artificial Intelligence (AI) Models Effectively Detect Cancer Therapy-Related Cardiac Dysfunction (CTRCD): a Diagnostic Test Accuracy (DTA) Meta-Analysis

Adesanya Oluwafolajimi , Ebengho Ikponmwosa , Ogbeide Omo , Abusin Salaheldin , Guha Avirup , Krive Jacob , Okwuosa Tochi

Presentation/Board Number: Mo2018

Scientific Sessions 2025

AI Under the Hood: Performance, Precision, and Model Accuracy

29

Artificial Intelligence Analysis of Free-Text Discharge Summaries Facilitates Automated Risk Stratification for Cardiac Surgery Readmissions

Alber Daniel , Phillips Katherine , Oermann Eric , Grossi Eugene , Mosca Ralph

Presentation/Board Number: Mo2020

Scientific Sessions 2025

AI Under the Hood: Performance, Precision, and Model Accuracy

30

Artificial Intelligence and Machine Learning in Cardiology

Deo Rahul

Presentation/Board Number:

Scientific Sessions 2024

Circulation: Innovation in Cardiovascular Science and Medicine

134

Artificial Intelligence and Machine Learning in Low Resource

Nascimento Bruno , Brown Kelsey

Presentation/Board Number:

Scientific Sessions 2024

AHA: 100 Years on the Global Health Stage

136

Artificial Intelligence and Novel Deep Learning in the Prediction of Cardiac Arrest and Cardiac Arrest Survival

Trayanova Natalia , Shade Julie

Presentation/Board Number:

Scientific Sessions 2024

Artificial Intelligence and Arrhythmias: Prediction, Procedures and Beyond

120

Artificial Intelligence Assessment of Diastolic Dysfunction by Electrocardiogram: Outcomes in Cardiac Intensive Care Unit Patients

Hillerson Dustin , Jentzer Jacob , Lee Eunjung , Attia Zachi , Kane Garvan , Lopez-jimenez Francisco , Noseworthy Peter , Friedman Paul , Oh Jae

Presentation/Board Number: MDP1527

Scientific Sessions 2024

Navigating the Cardiac Landscape: A Guide to AI-Driven Diagnostics

147

Artificial Intelligence Assisted Characterization of HFpEF in Patients with Indeterminate Diastolic Function

Papadogiannis Alexander , Karnik Amogh , Tang Maxine , Hussain Kifah , Kansal Preeti , Narang Akhil

Presentation/Board Number: Su3105

Scientific Sessions 2025

AI, Digital Health and Remote Monitoring on the HF Horizon

27

Artificial Intelligence-Based Approach for Localization of Intracranial Aneurysms on Head MRI Images

Ikedo Taichi , Ren Nice , Nishimura Kunihiro , Otsuka Ryotaro , Iihara Koji , Kataoka Hiroharu

Presentation/Board Number: TP162

International Stroke Conference 2025

Imaging Posters II

153

Artificial Intelligence-Based Atrial Fibrillation Detection Predicts Mortality After Carotid Endarterectomy

Mahmoudi Hamidabad Negin , Kalina Samuel , Nogami Kai , Lerman Lilach , Nardi Valentina , Lerman Amir

Presentation/Board Number: TP216

International Stroke Conference 2025

Large Vessel Disease from Arteries to Veins (Non-Acute Treatment) Posters

143

Artificial Intelligence-based Automated ECHOcardiographic Measurements and the Workflow of Sonographers (AI-ECHO): Randomized Crossover Trial

Sakamoto Akira , Kagiyama Nobuyuki , Sato Eiichiro , Nakamura Yutaka , Kaneko Tomohiro , Miyazaki Sakiko , Minamino Tohru

Presentation/Board Number: 4171745

Scientific Sessions 2024

Smart Cardiology: Harnessing AI and Innovation for Better Heart Health

119

Artificial Intelligence Based CCTA to Assess Sex-Based Differences in Coronary Atherosclerosis with Low Clinical Atheroma Volume

D'costa Zoee , Karlsberg Ronald , Cho Geoffrey

Presentation/Board Number: Mo2008

Scientific Sessions 2025

Innovations in Cardiovascular Care Delivery: AI, Digital Tools, and Population-Centered Approaches

35

Artificial Intelligence-Based Coronary Artery Calcium (AI-CAC) Score Empowers the “Power of Zero”: An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis (MESA)

Naghavi Morteza , Vliegenthart Rozemarijn , Nasir Khurram , Narula Jagat , Benjamin Emelia , Levy Daniel , Henschke Claudia , Yankelevitz David , Wong Nathan , Atlas Kyle , Zhang Chenyu , Reeves Anthony , Atlas Thomas , Wasserthal Jakob , Mcconnell Mike , Maron David , Williams Kim

Presentation/Board Number: MP563

Scientific Sessions 2025

Artificial Intelligence in Imaging and Multimodal Biomarkers: Advancing Precision Diagnostics and Prognostics

36