Features

90 Days a Dyad (or Triad): Strategies for Success & Errors to Avoid in the Crucial Early Days of Partnership

Experienced dyad and triad partners share tips for setting the stage for success and putting the brakes on mistakes.

Cardiology’s Challenge for the 2020s: Turning the Trend on Rising Mortality

The latest numbers on cardiovascular deaths put the focus on innovative ways to point the trend line down again.

In a world of networked medical devices, it’s not hard to imagine a radiology-heavy cyberattack that is not only malicious but also ingenious.

Better Practice Integration Through Technology

If some form of practice consolidation is in your radiology practice’s present or future, you should know that many tactical errors are made around the difficulty of sharing information across disparate legacy PACS packages and other peripheral solutions used by newly conjoining practices, departments or organizations.

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 two ways. It’s either a constant truism or it actually evolves and gains mass over time. In the age of artificial intelligence, it is both.

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

Countless predictions have been made about artificial intelligence and machine learning changing imaging screening and diagnosis at the point of patient care—and clinical studies and experience are now proving it. Radiologists say the impact is real in improving diagnosis of cancers and quality of care, consistency among readers and reducing read times and unnecessary biopsies. One shining example targets the evaluation of breast ultrasound imaging.

Will ‘Smart’ Solutions Really Transform Cardiology?

Smart technologies are often touted as the answer to some of cardiology’s greatest challenges in patient care and practice. But where does hyperbole end and reality begin with artificial intelligence, machine learning and deep learning?

Matching Machine Learning and Medical Imaging: Predictions for 2019

Developments in vastly scalable IT infrastructure will soon increase the rate at which machine learning systems gain the capacity to transform the field of medical imaging across clinical, operational and business domains. Moreover, if the pace seems to be picking up, that’s because data management on a massive scale has advanced exponentially over just the past several years.

Inside The Healthcare Research Revolution: Tiny Babies + Sharper Imaging + Deep Learning = Healthier Kids

To look into the future is to catch only a glimpse inside Simon Warfield’s radiology research lab at Boston Children’s Hospital. His team is pairing hyperfast imaging and deep learning to push the limits of medical imaging and artificial intelligence (AI) to identify, prevent and treat disease. He’s also eyeing ways AI will help as data sharing expands among research sites. “The research world needs to look forward to manage forward,” he says.

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Healthcare AI Startups See Record Deals

AI is hotter than hot in healthcare, according to AI market watcher CB Insights. Healthcare-AI funding reached $2.14 billion across 323 deals from 2012 through the second quarter of 2017—and has consistently been the top industry for AI deals.

Who Is JASON and Why Does He Care About Healthcare?

(Spoiler alert: It’s a 69-page report that indicates the use of AI in healthcare is both promising and doable.)

Pipeline Aplenty: FDA Greenlighting Medical AI Apps

When it comes to AI and machine learning, the regulatory trail has been blazed and the approval gates through open. The FDA has approved a couple dozen apps over the last year and a half—and the momentum is clearly building with Scott Gottlieb at the agency’s helm and recent moves to ramp up staffing to meet the demand.

Around the web

AI in Healthcare

Large language models, other GenAI options stimulating tech purchasing in healthcare

Budgeting for generative AI in healthcare has skyrocketed, albeit in pockets, by as much as 300% year over year.

Cardiovascular Business

‘Concerning’ data connect industry payments to cardiologists with medical device use

U.S. physicians often receive payments from medical device manufacturers and pharmaceutical companies. New research in JAMA found a connection between receiving such payments and using specific devices—should the industry be concerned?

Cardiovascular Business

Medicare reimbursement down 29% for cardiologists, 58% for heart surgeons

Physician payments are down slightly across the board, but they've fallen significantly for a handful of specialties. Researchers examined the long-term impact this trend could have on patient care.