Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon on Diagnostic Imaging:
Recently, NYU Langone Health partnered with Facebook AI in a collaboration that has produced MRI images that are the same diagnostic quality as standard MRI images. But, these scans are four times as fast, and the quality is virtually indistinguishable from a scan that takes much longer. In this edition of The Reading Room, published later this week, Dr. Michael Recht, chair of the NYU Langone Health radiology department, discusses the partnership, how the team has successfully reached this point, and what comes next.
For additional episodes of The Reading Room, click here.
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Last week, PLOS ONE published a study about how exposure to diagnostic imaging, such as X-rays and CT scans, can significantly raise a man’s risk of testicular cancer. In reporting the nearly 60-percent increase in risk, the researchers suggested lead shielding to reduce radiation exposure. But, the conversation around – and recommendations for – lead shielding of gonads has changed significantly. This week, Diagnostic Imaging spoke with Cynthia McCullough, Ph.D., Chair of the Board for the American Association of Physicists in Medicine, about how the guidance for lead shielding has evolved and what that means for providers in practice.
To read the PLOS ONE story, click here.
Sports are great for enjoyment and cardiovascular health, but the physical exertion can come with some wear-and-tear on the body. Later this week, look for coverage about the impact of some types of sports that can exacerbate orthopedic conditions.
To read more of Diagnostic Imaging’s coverage of sports, click here.
FDA Clears MRI-Based AI Segmentation of Organs at Risk During Radiation Therapy
May 2nd 2025Capable of segmenting over 37 organs and structures in the head, neck and pelvis, the MR Contour DL software is currently being showcased at the European Society for Radiotherapy and Oncology (ESTRO) conference.
Study Examines CT-Based AI Detection of Incidental Abdominal Aortic Aneurysms
April 29th 2025The AI software Viz AAA offered a sensitivity of 87.5 percent in detecting abdominal aortic aneurysms on contrast-enhanced CT, according to new retrospective research presented at the American Roentgen Ray Society (ARRS) conference.