At the heart of many innovations in healthcare are patients and finding ways to improve the quality of their care and experience. This is perhaps no more true than in the case of artificial intelligence (AI), which offers vast potential for improving patient outcomes through advances in population health management, risk identification and stratification, diagnosis, and treatment. Yet even with this promise, questions arise about how patients will interact with and react to these new technologies as well as how these advances will change the provider–patient relationship. A look at other technologies reveals some insights and possible concerns. Electronic health records, for example, have been known to produce issues with communication.

'Empathy robot' Reeti, made in France for use in health care. In a new book, Eric Topol wants to see medics themselves freed to provide compassion to patients.Credit: BSIP/UIG via Getty So much has been written about artificial intelligence (AI) that any new book on it can struggle to create a signal amid the noise. There are volumes hyping AI as the fourth industrial revolution, others decrying it as the greatest threat to modern society and many calling for AI to become less artificial and more intelligent. Now, Eric Topol, a cardiologist and director of the Scripps Research Translational Institute in La Jolla, California, adds his voice. Deep Medicine summarizes hype and threat, then takes us to a place where no one else has gone: a future in which AI helps to re-establish empathy and trust between doctors and patients.

Knowles said researchers then pulled the charts of those individuals the algorithm identified as likely having FH and found the system performed about as well as a human in diagnosing patients. "You could imagine this happening for … many potentially important conditions, not just FH," Knowles said. At the Cleveland Clinic researchers and doctors are using machine learning to predict the wellbeing of certain patients. "We're doing things to help us identify high-risk patients," explained Cleveland Clinic's Executive director of enterprise information management and analytics Chris Donovan. "So what patients are at risk of being admitted, what patients are at risk of deterioration in their care, or in their clinical condition and how do we intervene on those patients proactively."

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