The use of Artificial intelligence (AI) is rapidly expanding and evolving in the clinical practice and community care settings. AI-based healthcare technologies encompass a diverse range of technologies. In general, these technologies are designed to learn from their experiences, adapt to new inputs, and perform a variety of tasks, such as making predictions, recommendations, and decisions. In this study, we focused on the development of AI-enabled healthcare technologies along with their associated subtypes (machine learning and deep learning). AI-based technologies could make public health systems more sustainable and accessible. However, AI-based technologies present their own set of challenges. Regulatory challenges associated with these technologies include cybersecurity and data protection, quality control and product safety, and informed patient consent. The purpose of this report is to provide new insights into AI-based medical technology innovations, and to assist healthcare providers, regulators, and patients in staying abreast of emerging trends and developments in this area. This report brings empirical evidence from horizon scanning research activities, which can be used as a basis for implementing guidelines and policies to ensure safe and equitable health care for all.
Horizon Scanning Report: An Investigation into the Development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) - Enabled Healthcare Technologies
This report provides a comprehensive overview of the current state of AI-based healthcare technologies in development, those that have recently gained approval for use in the healthcare industry. It also provides insights into the key factors driving the development of these AI-based healthcare technologies.