Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine

Gender Bias in AI's Perception of Cardiovascular Risk

Margaux Achtari, Adil Salihu, Olivier Muller, Emmanuel Abbé, Carole Clair, Joëlle Schwarz, Stephane Fournier

J Med Internet Res 2024 (Oct 22); 26:e54242

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The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial

Jared Leitner, Po-Han Chiang, Parag Agnihotri, Sujit Dey

JMIR Cardio 2024 (May 28); 8:e51916

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Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data

Nawar Shara, Roxanne Mirabal-Beltran, Bethany Talmadge, Noor Falah, Maryam Ahmad, Ramon Dempers, Samantha Crovatt, Steven Eisenberg, Kelley Anderson

JMIR Cardio 2024 (Apr 22); 8:e53091

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A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study

Ryan C King, Jamil S Samaan, Yee Hui Yeo, Yuxin Peng, David C Kunkel, Ali A Habib, Roxana Ghashghaei

JMIR Cardio 2024 (Apr 19); 8:e53421

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Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

Vy Ho, Cati Brown Johnson, Ilies Ghanzouri, Saeed Amal, Steven Asch, Elsie Ross

JMIR Cardio 2023 (Nov 06); 7:e44732

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AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study

Enrico de Koning, Yvette van der Haas, Saguna Saguna, Esmee Stoop, Jan Bosch, Saskia Beeres, Martin Schalij, Mark Boogers

JMIR Cardio 2023 (Oct 31); 7:e51375

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