We work hard every day to deserve our reputation as leaders in digital health, alerting clients and colleagues to promising trends and technologies, sorting through the hype to discern what will truly advance the industry to improve patient outcomes. So when we kept receiving questions about artificial intelligence (AI),
The FDA has approved the first medical device to diagnose disease without a doctor. This isn’t necessarily the first FDA-approved artificial intelligence (AI) device —quite a few others have claimed that before — but it is the first to use AI to deliver a diagnosis.
Artificial intelligence (AI) has been a major trend at SXSW for years – Intouch has summarized sessions on the topic going all the way back to 2012 – so we were not surprised to see this trend rising in volume yet again. But 2018 is the first year we’ve
The potential for artificial intelligence (AI) in social media and healthcare is incredible, and AI can no longer be relegated to innovation groups. Pharma companies can leverage AI to impact many aspects of the industry, from helping users find and talk to doctors, using AI to predict heart attack risk with greater accuracy than cardiologists, and providing real-time customer support.
"We've turned the corner on artificial intelligence," says Justin Chase, Intouch EVP of innovation. Smart devices make it easier for consumers to get the information they need and the products they want, and for businesses to gather data about their audiences. One area where AI is currently making the biggest
“Artificial intelligence” … the term is everywhere these days, but what exactly does it mean? How do marketers begin to understand what it is and how it can help their brands? This glossary is a great first step!
If you're not already thinking about developing a chatbot for your brand, you should be. Learn the 10 most important things to consider to create a chatbot that will work wonders for your brand.
There weren’t the kind of game-changing innovations you’d expect to see at the 2018 Consumer Electronics Show (CES). That said, there were some key takeaways for pharma and healthcare.
How many times have you stood impatiently in front of a microwave as the seconds tick down? How confused — or maybe even a little offended — are you when you’re served an ad that’s clearly not meant for you? Face it: we’ve come to expect nearly instant solutions,
What is Machine Learning? And does it affect your work as a pharma marketer? Can you separate the hype from the hope? In this article, we give you an overview of the basics of machine learning, and explain how and why it should matter to you. Put simply: Machine learning