Experience Stories

AI in Healthcare 2020 Leadership Survey Report: Through the eyes of the CIO

AI is not part of their current plans (36%), more than quarter (27%) are assessing and planning to…

AI in Healthcare 2020 Leadership Survey Report: The early adopters

Proficient in AI (75%) or advanced (25%) in using and developing AI for several years. Read more

AI in Healthcare 2020 Leadership Survey Report: Table of Contents

AI in Healthcare worked alongside Pure Storage on this survey, with Pure offering an educational…

AI in Healthcare 2020 Leadership Survey Report: Radiology is blazing the AI trail

AI apps for imaging outnumber all other categories of FDA-approved apps to date. It’s no surprise…

AI in Healthcare 2020 Leadership Survey Report: Health systems are both buying and developing AI apps

Standard practice seems to be a blend of commercial AI solutions and teams at healthcare facilities…

AI in Healthcare 2020 Leadership Survey Report: Improving care is AI’s greatest benefit

Improving accuracy, efficiency and workflow are the top benefits leaders see with AI. Next are…

AI in Healthcare 2020 Leadership Survey Report: Fortifying infrastructure is top of mind

Healthcare leaders are in full gear in investing in infrastructure—with 45 percent buying this…

AI in Healthcare 2020 Leadership Survey Report: Health systems are committed to investing in AI

93% of respondents agree AI is absolutely essential, very important or important to their strategy…

AI in Healthcare 2020 Leadership Survey Report: AI has moved into the mainstream

The future is now. It’s here. Health systems are hiring data scientists and spending on…

AI in Healthcare 2020 Leadership Survey Report: C-level healthcare leaders are leading the charge to AI

AI has earned the attention of the C-suite, with some 40% of survey respondents saying their…

AI in Healthcare 2020 Leadership Survey Report: Meet the Survey Respondents

Click to view the Survey Respondents

AI in Healthcare 2020 Leadership Survey Report: The Doctor Says

AI is “very important” or “absolutely essential” to strategy and future plans (72%). Read more

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AI in Healthcare 2020 Leadership Survey Report: From the C-Suite

34% work for health systems “advanced” and “proficient” in AI. Read more

AI in Healthcare 2020 Leadership Survey Report: About the Survey

The AI in Healthcare team embarked on this survey to gain a deeper understanding of the current…

AI in Healthcare 2020 Leadership Survey Report: Drill Down by Facility Type

Does Size Matter? View now.

AI in Healthcare 2020 Leadership Survey Report: 7 Key Findings

Artificial and augmented intelligence are already helping healthcare improve clinically,…

AI in Healthcare 2020 Leadership Survey Report: Survey at a Glance

Here is an overview of top priorities, barriers to adoption and the mindset of leadership.…

AI in Healthcare 2020 Leadership Survey Report: Leveraging Intelligence to Enhance Care and Processes

Artificial and augmented intelligence are poised to revolutionize healthcare and medicine. Read…

Architecting AI: Geisinger's Vision: How Data, Imaging & Genomics Are Driving Actionable Decision-making

[Expert Roundtable Video Series] Sitting atop the biggest biobank with whole exome (DNA) sequence…

Building Foundations to Build Better Care

It’s all about the data. We’ve been saying this for years. We can choose to look at this in one of…

Embracing AI: Why Now Is the Time for Medical Imaging

Artificial and augmented intelligence are driving the future of medical imaging. Tectonic is the…

Bullish on AI: The Wisconsin Way: Reengineering Imaging & Image Strategy

Not just for years but for decades, the department of radiology at the University of Wisconsin…

ML’s Role in Building Confidence and Value in Breast Imaging

Countless predictions have been made about artificial intelligence and machine learning changing…

Will ‘Smart’ Solutions Really Transform Cardiology?

Smart technologies are often touted as the answer to some of cardiology’s greatest challenges in…

Matching Machine Learning and Medical Imaging: Predictions for 2019

Developments in vastly scalable IT infrastructure will soon increase the rate at which machine…

NYU’s Daniel Sodickson on AI, Facebook and Why Faster MR Scans Could Improve Healthcare

A new project is seeking to make MRI scans up to 10 times faster by capturing less data. NYU’s…

Machine Learning 101: Simplifying It One Term at a Time

Machine learning is one of the hottest topics in radiology and all of healthcare, but reading the…

Intelligence & Insight: The Latest News in AI and Machine Learning

A compilation of the latest news in AI and machine learning

Leveraging Technology, Data and Patient Care: How Geisinger Is Interjecting Insight & Action

As an integrated health-delivery network comprising 13 hospital campuses, two research centers and…

[Expert Roundtable] Architecting AI: Rethinking Medical Imaging & Defining the Strategy

We asked the questions you want to: Why is imaging ripe for AI? How will improvements in image…

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