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Mental Health Apps: realising the latent potential in cognitive behavioural therapy

Waracle

Advancements in machine learning (ML) and artificial intelligence (AI) are allowing mobile health (mHealth) apps to digitise traditional therapies onto web-based platforms. This may in part be due to the relative infancy of the development of mental health apps, and a lack of peer-reviewed research validating their long-term efficacy.? .

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Eight Intriguing Offerings from the 2019 Voice Summit

Aging in Place Technology Watch

Next year’s event will no doubt add links to the winners’ websites, and perhaps could appear to beless random, perhaps with (or only with) case studies demonstrated by deploying organizations. category tags: Voice First/AI/Voice Assistants , mHealth-Digital Health-Telehealth-Voice Health. Learn a bit more at SmartBeings.Ai

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The Digital Health Consumer According to Rock Health

Health Populi

Check out Estonia and Switzerland for case studies on that. A longer-term solution would be for consumers to control their own health data in secure data lockers. There are early blockchain-enabled examples of this emerging, dotted around the world. In the meantime, in the U.S.,

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From Boost Mobile and Swype to Xealth: One Entrepreneur’s Journey into Healthtech

Chilmark Research

I have followed this area closely for years – my first real startup attempt was a prescribable app platform in the early days of mHealth ( RxApps ) – but to date, none have actually found a successful business model. I wanted to make a change in health care, improve the health, welfare and society of the US population.

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