Using artificial intelligence in health care could actually make medicine more human by giving doctors more time to interact with their patients. The technology promises to improve health care by making it more effective and speedy by eliminating some of the mundane functions that eat up doctors' time, said Eric Topol, founder and director of the nonprofit Scripps Research Translational Institute, at Fortune's Brainstorm Health conference on Tuesday in San Diego. Machine learning could free doctors from having to type medical information into patient files while also helping give patients better access to their personal data. "All that effort can then get us to what we've been missing for decades now, which is the true care in health care," Topol said. Topol's vision is the topic of his new book, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.
In 1976, Maxmen1 predicted that artificial intelligence (AI) in the 21st century would usher in "the post-physician era," with health care provided by paramedics and computers. Today, the mass extinction of physicians remains unlikely. However, as outlined by Hinton2 in a related Viewpoint, the emergence of a radically different approach to AI, called deep learning, has the potential to effect major changes in clinical medicine and health care delivery.
Alphabet is shuffling some of its companies around as it works to better organize the health projects that are currently spread across its subsidiaries. So going forward, DeepMind's health unit will instead exist under the Google umbrella and it will be part of the company's recently formed Google Health initiative. Specifically, DeepMind's Streams app, which physicians in the UK have used to help treat their patients, will be moving over to Google, and the Google Health team will be working on expanding the app to more regions. We're excited to announce that the team behind Streams - our app supporting doctors and nurses to deliver faster, better care to patients - will be joining Google. Google recently brought in David Feinberg to lead the new Google Health group, with the goal of organizing Alphabet's health efforts and enhancing collaborations across its subsidiaries.
Robben, Saskia (Amsterdam University of Applied Science) | Englebienne, Gwenn (University of Amsterdam) | Pol, Margriet (Amsterdam University of Applied Sciences) | Kröse, Ben (University of Amsterdam)
Ambient activity monitoring systems produce large amounts of data, which can be used for health monitoring.The problem is that patterns in this data reflecting health status are not identified yet. In this paper the possibility is explored of predicting the functional health status (the motor score of AMPS Assessment of Motor and Process Skills) of a person from data of binary ambient sensors. Data is collected of five independently living elderly people. Based on expert knowledge, features are extracted from the sensor data and several subsets are selected. We use standard linear regression and Gaussian processes for mapping the features to the functional status and predict the status of a test person using a leave-one-person-out cross validation. The results show that Gaussian processes perform better than the linear regression model, and that both models perform better with the basic feature set than with location or transition based features.Some suggestions are provided for better feature extraction and selection for the purpose of health monitoring.These results indicate that automated functional health assessment is possible, but some challenges lie ahead. The most important challenge is eliciting expert knowledge and translating that into quantifiable features.
LONDON, UK – Today, mental health conditions are endemic. There is widespread consensus that society is facing an unprecedented rise in mental health conditions. Mental health is frequently described as being in'crisis'; something that fiscally strained health services simply do not have the resources to either treat or prevent. You don't have to look far to find statistical evidence in support of this. Today, over 40 per centof all GP appointments in the UK concern patients' mental health, while the British NHS has seen a sharp rise in patients under the age of 19seeking treatment from mental health services.