Digital health technologies, including AI and wearables, provide significant opportunities to improve cardiovascular disease prevention, management, and healthcare delivery.
Recent advances in digital health technologies including electronic and mobile health platforms (eHealth and mHealth), telemedicine, wearable devices, sensors and artificial intelligence (AI) provide opportunities to improve access to and delivery of healthcare (1). Digital health services currently employ the use of digital technologies for the provision of health education and awareness (i. e. , text messaging), remote monitoring and support (i. e. , telerehabilitation), disease prediction (i. e. , AI), and vital signs monitoring (i. e. , wearable devices) (2). However, digital technologies have also been used as diagnostic tools-for example, machine learning and deep learning approaches for the detection of diabetic retinopathy and skin cancers (3). Along with the large datasets generated by electronic health records and medical devices, the global market for digital health has increased steadily over the past few years and projected to reach from USD 106 billion in 2019 to USD 639. 4 billion in 2026 (4). These big data provide opportunities to understand disease trends, gain insights in patients' health, better predict future health outcomes and support individual care.
Islam et al. (Fri,) studied this question.