Case Studies

Buying new software and systems for your healthcare enterprise can be a precarious endeavor. On the one hand, replacing an old system that is holding you back or purchasing new functionality that will increase efficiency is a promising and positive thing. On the other, selecting the wrong vendor could cause delays, setbacks and even security incidents.

It was only recently that 10 radiology practices from around the United States formed a new managed services organization (MSO), named it Unified Radiology and took aim at securing independence for each member practice. Almost immediately, members discovered that the modest investment of time creating the MSO would result in significant financial returns, now and in the future.

One of the biggest ongoing trends in healthcare in recent years has been the increased focus on educating women about breast density. Dense breast tissue can obscure small masses and lower the sensitivity of mammograms, making it especially vital that women know their options if mammography reveals they have dense breasts.

When it comes to digital medicine, digital pathology is very late to the game. But its time is coming. And the benefits could be many: Bolstering the capabilities, efficiency and reach of individual pathologists, cutting patient wait times, streamlining multidisciplinary team meetings (MDTs) and offering more data-rich decision-making. It could even obviate a shortage of pathologists. Where does it fit into your strategic plan?

Not just for years but for decades, the department of radiology at the University of Wisconsin School of Medicine and Public Health in Madison has been leading the charge on creating innovative technology and translating imaging research into clinical practice.

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.

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?

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. 

A new project is seeking to make MRI scans up to 10 times faster by capturing less data. NYU’s Center for Advanced Imaging Innovation and Research (CAI2R) is working with the Facebook Artificial Intelligence Research group to “train artificial neural networks to recognize the underlying structure of the images to fill in views omitted from the accelerated scan.”

Machine learning is one of the hottest topics in radiology and all of healthcare, but reading the latest and greatest ML research can be difficult, even for experienced medical professionals. A new analysis written by a team at Northern Ireland’s Belfast City Hospital and published in the American Journal of Roentgenology was written with that very problem in mind.

A compilation of the latest news in AI and machine learning

As an integrated health-delivery network comprising 13 hospital campuses, two research centers and a health plan with more than half a million subscribers sitting atop the biggest biobank with whole exome (DNA) sequence data in existence, Pennsylvania’s Geisinger Health System is one of the best-positioned institutions in the U.S. to explore the possibilities and initial successes of AI in healthcare. The institution is bringing complex algorithmic concepts to everyday patient care and showing others the path forward.