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Editor's e-Note
Editor's e-Note
AI is fast becoming essential in radiology. From flagging images with potential abnormalities to streamlining workflow to improving image quality, AI has made notable inroads in the past few years.

This month’s E-news Exclusive takes a slightly different view of AI: AI for improving population health. With the wealth of medical images that are now available, using AI to identify at-risk patients is a logical extension of the technology. The potential improvements in care of preventing medical issues before they occur—not to mention the potential savings to health care providers and the health care ecosystem at large—are significant and may be more so as time goes by. Read on to find out how some organizations have begun to deploy this technology.

Is your organization thinking about or implementing any AI-driven population health programs? Let us know on Twitter and/or Facebook.

Happy Holidays from everyone at Radiology Today, and stay safe.

— Dave Yeager, editor
e-News Exclusive
AI Insight for Population Health
By Orit Wimpfheimer, MD

Prevention is better than cure, says Arnon Makori, MD, MHA, director of imaging informatics at Clalit Health Services in Israel, the second largest health maintenance organization in the world. He points out that this is a basic tenet of population health, which in part seeks to improve care by assessing the risk of chronic disease, managing that risk, and driving prevention in specific populations.

Across the globe at the National Health Service’s Oxford University Hospitals in the United Kingdom (UK) as well as in the United States at Intermountain Health, the largest health care provider in the Utah, Idaho, and Nevada area, physicians emphatically agree. They view this growing approach to health care as a crucial way to treat patients more effectively, efficiently, and at lower cost. They also agree that in today’s data-driven health care age, AI-driven population health tools can help this burgeoning health care strategy live up to its full potential. In fact, some believe that AI will become a new standard of care in population health and is poised to change the face of medicine.

AI has already achieved large-scale acceptance as a means of assisting radiologists in the analysis of images from CT to X-ray, most often for evaluating acute conditions and standard screening exams such as mammograms. However, in these leading-edge hospitals and others worldwide, AI is now emerging as an important means of identifying previously unrecognized patient risk and disease at a very early stage. A population health program can then address these findings to enable more timely patient management and clinical interventions that can potentially avert a serious problem or reduce its impact.

Full story »
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In This e-Newsletter
Other Imaging News
FDA OKs PSMA-Targeted Drug for PET Imaging of Prostate
According to an FDA press release, Gallium 68 PSMA-11 has become the first drug approved for PET imaging of prostate-specific membrane antigen-positive lesions in men with prostate cancer. The development is being hailed as a game-changer by personnel at the University of California San Francisco and UCLA.

T-Ray Spectrum Bolsters Skin Cell Analysis
Scientists led by the United Kingdom’s University of Warwick have reportedly unveiled an innovative method for analyzing the structure of skin in vivo using terahertz radiation. According to research published in Advanced Photonics Research, the technique has valuable applications in dermatology and skin cancer surgery.

3D Modeling Yields Insights Into Dinosaur’s Brain Cavity
Researchers from the University of Bristol announce they have used advanced 3D imaging to reconstruct the brain of Thecodontosaurus, a dinosaur that has origins traceable to the UK city. Their research, published in the Zoological Journal of the Linnean Society, hypothesizes that the dinosaur hunted prey and walked upright.

Black Phosphorus Countermeasure Prevents X-Ray Pirating
Purdue researchers announce they have created a countermeasure utilizing black phosphorus to disguise the inner workings of a computer chip. The technique, they say, will prevent hackers from X-raying, then reverse-engineering, proprietary technology; more information is available at Nature Electronics.
Worth Repeating
“Just like listening to the sound of a single instrument from an orchestra is far from enough to fully appreciate a symphony, by enabling observations of multiple cellular signals at the same time, our technology will help us understand the ‘symphony’ of cellular activities.”

Changyang Linghu, PhD, of MIT, describing a fluorescent imaging technique that can reportedly differentiate up to five different molecule types at a time, thereby allowing unprecedent insight into the workings of a live cell