<p>Heart failure (HF) is an increasingly pressing public health concern, with projections suggesting its age-standardized prevalence will increase in coming decades. To accommodate the increasing burden that will be placed on patients and healthcare systems, applications of digital health technologies including artificial intelligence (AI) may improve aspects of HF care and monitoring. However, adoption of digital health solutions into HF clinical practice has been modest to date due to limited evidence of efficacy as well as technical, clinical implementation, and regulatory barriers. In this review, we discuss the state of the art in digital health technologies for HF, including applications of AI for medical image acquisition and processing, monitoring tools including remote patient management platforms and wearable devices, and phenotyping patients using actigraphy-enabled wearables. We further highlight potential solutions for barriers to the uptake of novel technologies and development of digital biomarkers in HF care and research. Together, this review underscores the potential for digital health and AI tools to improve HF outcomes and prepares stakeholders to implement these technologies effectively.</p>