Health Affairs - January 15, 2020

An opportunity to carefully consider unintended consequences of the prevalent approaches of stratifying risk to find a new way forward.

Healthcare IT News - December 3, 2019

Fundamental issues related to executive support, staff buy-in and patient risk stratification need to be understood and addressed before machine learning applications can help with population health goals.

Healthcare IT News - July 5, 2019

Leonard D'Avolio, founder and CEO of Cyft, says machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively.

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 solution."

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?

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.

CNBC - April 29, 2018

In health care, people on Medicare and Medicaid are now getting access to the future of medicine. That future is less about expensive tests and procedures but focused instead on keeping people healthy for longer.

MedCity News - April 29, 2018

Last week, panelists at the World Medical Innovation Forum in Boston were unanimous in their assessment that AI will be instrumental in bending the cost curve.

HealthcareITNews - Mar 7, 2018

Emerging analytics technologies are a useful tool, but viewing them as a cure-all hurts the industry.

HealthcareITNews - Dec 13, 2017

Hospitals should look to automotive, search and business process management realms for lessons learned about artificial intelligence, machine learning and cognitive computing.

Harvard Business Review - Oct. 14, 2017

Health systems should seek to align with stakeholders on value, bring predictive and prescriptive analytics to personalized care, and further engage and educate patients in their own care.

HealthcareItNews - Oct. 27, 2017

While it is harder to convince the C-suite that investing in advanced analytics tools makes sense, key pillars in the ROI statement should make that clear.

HealthcareItNews - Oct. 2, 2017

Talking about artificial intelligence as a cure for cancer does doctors, hospitals and patients a disservice

CNBC, Sept 7, 2017

The key is to understand the needs of a health system, rather than throwing sexy tech at the problem.

PR Newswire , Sept 5, 2017

"We couldn't be more impressed with MedMinder's vision, technology, and business model and look forward to working together to improve care for those who need it most." - Leonard D'Avolio, Ph.D., CEO and Cofounder of Cyft.

Health IT Analytics, June 13, 2017

A children’s hospital and diabetes research center are evaluating techniques using artificial intelligence to better identify and manage the care of people with type 1 diabetes.

Becker's Health IT @ CIO Review, June 12, 2017

Children's Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft.

Science and Enterprise June 12, 2017

Two provider organizations partner with Cyft to improve the care of patients with Type 1 diabetes.

PR Newswire , June 12, 2017

Children's Mercy Kansas City and Joslin Diabetes Center announce a three-year project with Cyft to apply predictive analytics to proactively identify and manage at-risk individuals.

HealthcareITNews  - June 8, 2017

"I'm less concerned about about the subtle differences between machine learning and AI," he said. "For healthcare, it's more important to start with: What problems are we solving?"

Healthcare IT News, May 15, 2017

Tech is the enabler, but it’s people and process that improve care. If you cannot embed it into the complex workflows of healthcare, it won’t help anyone.”

Becker's Health IT & CIO Report - May 17, 2017

13 medtech leaders answering the question: What role will artificial intelligence play in healthcare over the next 20 to 30 years?

HealthcareItNews - March 27, 2017

VentureBeat - February 14, 2017

"There’s a misconception that AI requires huge amounts of data. The real issue is understanding the context into which you are trying to introduce this technology."

HealthIT Analytics - February 06, 2017

"There is a tremendously exciting opportunity to use machine learning to improve those processes and dig deeper into that data and all the other variables that impact an individual’s life.” -  Dr. Emma Stanton, Associate Chief Medical Officer for Beacon Health Options on the Cyft / Beacon partnership

HealthLeaders Media - November 29, 2016

"Get ready for the next wave of predictive analytics, capable of identifying future admissions and health plan disenrollments." - Scott Mace

Healthcare Informatics - November 14, 2016

“As value-based care organizations are now discovering, these multi-million dollar investments in traditional analytics are useful for understanding what happened—how many beds were filled, drugs prescribed, surgeries performed. However, they are incapable of answering the fundamental questions of value-based care: what should happen, to whom, when, and how, in order to prevent future events.”

Leonard D’Avolio and Rajiv Levanthal discuss the future of healthcare analytics and it looks very different than our current reality.

HealthcareIt News - October 25, 2016

"The math is done, that game is over," D’Avolio said. "We’re past the point of these technologies needing to be limited to a few users." A wrap up of Dr. D’Avolio’s HIMSS Big Data and Analytics Conference Keynote Address

HealthcareIt News - September 28, 2016

“Either we are reading about how Big Data will cure cancer or about how it’s foolish to believe Big Data will replace doctors,” D’Avolio said. “I think the narrative should be in the middle, where we are talking about these technologies as tools that could be used to complement the work of not just clinicians but also healthcare administrators, operational leaders and others.”

The Health Care Blog - Oct 26, 2015

Our inability to use data in healthcare cost billions in treasure and thousands in lives each year. Dr. D’Avolio dives deeper into Healthcare’s Deadly Data Problem.