Missed findings: One symptom of burnout in radiology
In the three minutes it will take you to read this blog post, a radiologist will review an estimated 45-60 images.1 And they must continue to review an image every 3-4 seconds during each eight-hour...
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COVID-19’s watershed moment for radiology
In December, tens of thousands of radiologists gathered at the Radiological Society of North America (RSNA) annual meeting. Many of us were talking about concerns that included physician burnout,...
View ArticlePictures into numbers
One of the key advantages artificial intelligence (AI) brings to medical imaging is its ability to transform images into numbers. The concept and use of quantitative imaging has reached prevalence over...
View ArticleHow radiologists can navigate the pandemic
The pandemic has disrupted life as we know it, and the field of radiology is no exception. To hear more about some of today’s biggest challenges and opportunities for radiologists, I recently talked...
View ArticleMental health challenges continue for radiologists during pandemic
Pandemics take a toll on mental health. One study of evidence from previous epidemics – such as SARS, influenza and Ebola – found that they have long-term cognitive and mental health effects on the...
View Article3 core capabilities of a true enterprise imaging system
What is the cost of fragmented data in imaging? It’s difficult to quantify, but most health systems recognize the value of a more comprehensive approach – an enterprise imaging system – to help them...
View ArticleHow 3D surgical model printing can help improve insights from medical imaging...
Surgery requires teamwork and preparation. There must be tight collaboration among clinicians – with the surgeon replying upon timely and accurate contributions from radiologists, primary care...
View Article6 things that could help advance AI adoption in radiology
Radiology has always been on the cutting edge of technology in medicine, and artificial intelligence (AI) has made some progress within this specialty. But AI is at an inflection point. To make use of...
View ArticleBeyond KLAS rankings: Building client relationships at IBM Watson Health
More than ever, healthcare providers are in the thick of trying to solve today’s problems and prepare for tomorrow. Small practices and large systems alike are struggling with a constant increase in...
View ArticleCardiovascular image and data management: a technical and clinical evolution
Some of you remember the old days – the smell of dark room chemicals, quiet of massive film libraries, and presence of office managers surrounded by towering stacks of film jackets. The Cardiovascular...
View ArticleAchieving real-world success with AI
This bylined article first appeared on Diagnostic Imaging on June 10, 2021, republished in part with permission. “If we told clinicians, ‘we will use advanced math to help you improve care,’ they would...
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6 pieces of advice from an AI early adopter
The use of advanced analytics and AI in healthcare continues to evolve rapidly. A recent survey found one-third of healthcare organizations already use AI in medical imaging, with another one-third of...
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