biostudies-literatureUnknown4(3)Schepart A<h4>Background</h4>Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases have been published, with a high impact on public health. However, few have been adopted into, or have meaningfully affected, routine clinical care.<h4>Objective</h4>To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption.<h4>Methods</h4>This mixed-methods study included interviews with 12 cardiologists and 8 health information technology (IT) administrators, and a follow-on survey of 90 cardiologists and 30 IT administrators.<h4>Results</h4>We identified 5 major challenges: (1) limited knowledge, (2) insufficient usability, (3) cost constraints, (4) poor electronic health record interoperability, and (5) lack of trust. A minority of cardiologists were using AI tools; more were prepared to implement AI tools, but their sophistication level varied greatly.<h4>Conclusion</h4>Most respondents believe in the potential of AI-enabled tools to improve care quality and efficiency, but they identified several fundamental barriers to wide-scale adoption.Cardiovascular digital health journal101-110https://www.ebi.ac.uk/biostudies/studies/S-EPMC10282011biostudies-literatureArtificial intelligence-enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges.PMC10282011Schepart ABurton AFuller ACharap EBhambri RDurkin LAhmad FSfalseArtificial intelligence-enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges.<h4>Background</h4>Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases have been published, with a high impact on public health. However, few have been adopted into, or have meaningfully affected, routine clinical care.<h4>Objective</h4>To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption.<h4>Methods</h4>This mixed-methods study included interviews with 12 cardiologists and 8 health information technology (IT) administrators, and a follow-on survey of 90 cardiologists and 30 IT administrators.<h4>Results</h4>We identified 5 major challenges: (1) limited knowledge, (2) insufficient usability, (3) cost constraints, (4) poor electronic health record interoperability, and (5) lack of trust. A minority of cardiologists were using AI tools; more were prepared to implement AI tools, but their sophistication level varied greatly.<h4>Conclusion</h4>Most respondents believe in the potential of AI-enabled tools to improve care quality and efficiency, but they identified several fundamental barriers to wide-scale adoption.2023-01-01T00:00:00Z2023 Jun2025-04-04T07:38:36.541Z2025-04-04T07:38:36.541ZS-EPMC102820113735133310.1016/j.cvdhj.2023.04.003