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Machine Learning in Time-to-Event Prediction of Ventricular Arrhythmias among Older Adults with Type 2 Diabetes and Coronary Artery Disease

Jeon Yein , Payne Thomas

Presentation/Board Number: Mo3080

Scientific Sessions 2024

CardioTech Unleashed: Advances in Cardiovascular Diagnosis and Management

Machine learning model for prediction of functional outcome in patients with recent small subcortical infarction.

Yao Ying , Ce Zong , Xu Yuming , Gao Yuan

Presentation/Board Number: TP335

International Stroke Conference 2025

Risk Factors and Prevention Posters II

Machine Learning Model Outperforms Conventional Score to Distinguish Transthyretin Amyloid Cardiomyopathy from Other Cardiac Conditions that Cause Left Ventricular Hypertrophy

Nagai Midori , Akita Keitaro , Fifer Michael , Tower-rader Albree , Weiner Shepard , Liang Lusha , Maurer Mathew , Shimada Yuichi

Presentation/Board Number: MP788

Scientific Sessions 2025

Under the Sheets: Contemporary Cardiac Amyloidosis Research

Machine Learning Model Predicting In-Hospital Mortality for Cardiogenic Shock

Kochar Ajar , Foote Henry , Ratliff William , Balu Suresh

Presentation/Board Number: MDP497

Scientific Sessions 2024

Enhancing Practice Through Innovation: Machine Learning, Electronic Nudges and More

Machine Learning Model to Predict Changes in Neuroimaging Profiles Following Delayed Transfer for Stroke Thrombectomy

Skorseth Paige , Colasurdo Marco , Chen Huanwen , Rewinkel Scott , Kim Daniel , Amin Sonesh , Shakal Scott , Priest Ryan , Nesbit Gary , Clark Wayne

Presentation/Board Number: TP233

International Stroke Conference 2025

Neuroendovascular Posters II

Machine learning models based on hyperspectral images accurately diagnose coronary artery disease

Li Zeyan , Yang Xiaomeng , Shi Xiaoyu , Yu Lilei

Presentation/Board Number: Sa4104

Scientific Sessions 2024

Applicability of AI in a Variety of Clinical Questions and Clinical Trials

Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients with Malperfusion

Zhang Yanda , Xing Hang , Wang Ting , Zhang Bo , Yuan Jing , Wang Long

Presentation/Board Number: Mo1155

Scientific Sessions 2024

PVD Potpourri 3

Machine Learning Models to Predict High Atrial Fibrillation Burden Post-Catheter Ablation in Patients with Persistent AF: Insights from the DECAAF II Trial

Bidaoui Ghassan , Menassa Yara , Liu Yingshuo , Hassan Abboud , Jia Yishi , Lim Chanho , Noujaim Charbel , Mekhael Mario , Rao Swati , Kreidieh Omar , Pandey Amitabh , Yamak Sarrah , Marrouche Nassir , Feng Han , Assaf Ala' , Massad Christian , Bsoul Mayana , Younes Hadi , Atasi Mohammad Montaser , Abou Khalil Michel

Presentation/Board Number: MP985

Scientific Sessions 2025

Harnessing AI: Innovations in Arrhythmia Detection and Management

Machine Learning of ECG Waveforms for Outcomes After Left Bundle Branch Area Pacing in Heart Failure

Bilchick Kenneth , Bivona Derek , Patlatzoglou Konstantinos , Ng Fu Siong , Ellenbogen Kenneth , Pillai Ajay

Presentation/Board Number: MDP1793

Scientific Sessions 2024

New Insights and Novel Techniques in Device Therapies

Machine learning of echocardiographic left ventricular myocardial radiomics for identification of transthyretin amyloid cardiomyopathy

Elzieny Ali , Lang Roberto , Maurer Mathew , Li Baojun , Ruberg Frederick , Alreshq Rabah , Ullah Ikram , Fine Denise , Teruya Sergio , Helmke Steve , Gallegos Cesia , Miller Edward , Slivnick Jeremy

Presentation/Board Number: MP321

Scientific Sessions 2025

Advancing Frontiers in Amyloid: Imaging and Emerging Insights

Machine learning prediction of myocardial ischemia using quantitative assessment of coronary calcifications in non-contrast CT calcium scoring scans

Lee Juhwan , Makhlouf Mohamed H.e. , Al-kindi Sadeer , Hoori Ammar , Hu Tao , Wu Hao , Kim Justin , Rajagopalan Sanjay , Wilson David

Presentation/Board Number: MP140

Scientific Sessions 2025

Transforming Cardiac Imaging and Risk Assessment Through AI

Machine Learning Predicts 24-Hour Change in Decongestion Biomarkers in Hospitalized Heart Failure Patients

Harzand Arash , Vremenko Dmytro , Wilcox Alexander , Beskin Claire , Liao Ruizhi , Joseph Jacob

Presentation/Board Number: Su3044

Scientific Sessions 2024

AI at Heart: Revolutionizing Cardiovascular Imaging