With the advent of digital approaches to mental health, modern artificial intelligence (AI) (machine learning in particular) is being used in the development of prediction, detection, and treatment solutions for mental health care. Although there has been considerable progress in digital health and the application of AI to physical health in general, the adoption of AI in mental health is relatively nascent. However, opportunities are emerging. For example, in terms of treatment, AI can be incorporated into digital interventions, particularly web and smartphone apps, to enhance user experience and optimise personalised mental health care. In terms of prediction and detection, modern streams of abundant data, whether they be from medical imaging or an individual’s interactions with digital technologies, mean that data-driven AI methods can be employed to gain mental health insights.The goal of this Research Topic is to bring together some of the latest research applying artificial intelligence to the field of mental health, as well as behavioural health and mental wellbeing more generally. Given the still rather nascent stage of this intersection, this collection of articles should serve to further establish the possibilities of applying AI to mental health, some of which are mentioned as follows. The first type of potential advance concerns the employment of AI techniques in digital phenotyping research, including ambient sensor/intelligence possibilities beyond smartphone...

HIMSS is Europe's leading journal for IT in healthcare focused on senior leaders. Their lead story "Mental health chatbots - the future of therapy?" highlights Wysa as a leading solution of using AI for mental health. 'The invention of chatbots is an admirable invention', says Maneesh Juneja, one of the world's leading Digital Health Futurists. We are super proud and we totally agree.