Healthcare IT News - June 19, 2019 Len D’Avolio, CEO of Cyft and an assistant professor, Harvard Medical School and Brigham and Women’s Hospital, outlined some lessons learned from his perspective – starting with demystifying the process. When looking for potential applications where AI and ML might help, D'Avolio suggested healthcare organizations "fall in love with the problem, not the
QEII Times - June 14, 2019 When most people hear the term artificial intelligence (AI), they have a futuristic image ripped straight from the latest action/sci-fi movie in which robots take over the world. But nothing is farther from the truth, according to Dr. Leonard D’Avolio, an assistant professor at Brigham and Women’s Hospital at Harvard Medical School.
NEJM Catalyst - February 28, 2019 NEBH is counting on analysis of patient-reported outcomes (PROs) and other critical health care data to guide clinical leadership... By coupling the PROs with other key inputs, NEBH aims to enhance shared decision-making with a predictive modeling tool, currently under development with Cyft...
Healthcare IT News - November 30, 2018 We speak with Harvard professor and Cyft CEO Len D'Avolio about the wide gap between artificial intelligence in real-world healthcare, and how it's often depicted in sci-fi illustrations.
TechRepublic - November 17, 2018 Discover how two tech companies are using deep learning to offer mass personalization in healthcare.
Healthcare IT News - November 5, 2018 AI, machine learning, cognitive computing, neural networks? Supervised, unsupervised, semi-supervised? Object recognition, natural language processing? What does it all mean?
The Ongoing Exploration for Artificial Intelligence’s Best Use in Healthcare: One Expert’s Viewpoint
Healthcare Informatics - September 12, 2018 One of the biggest “buzz terms” in healthcare and health IT is undoubtedly artificial intelligence, or AI, but there are still plenty of questions and debate on how AI can best be leveraged to lower costs, industry-wide.
CIO - August 1, 2018 Health care companies are embracing artificial intelligence for everything from drug research to diagnostics, but challenges centered around privacy, data and the AI ‘black box’ remain.
Tech Republic - June 30, 2018 Some medical technologies that use artificial intelligence might benefit patients but result in a drop in health system revenues. This could make widespread adoption of AI in medicine a tough sell.
Health Data Management - May 4, 2018 “In machine learning, thousands of studies have helped us find patterns in data, and most of them are clinical in nature,” D’Avolio says of the work Cyft does. The ability to automate the math is new, however. It enables “anyone who can write code” to find patterns of interest.