Dr. Roderic Pettigrew, founding director of the National Institute of Biomedical Imaging and Bioengineering at the NIH, and chair of a new Texas A&M program to integrate engineering into medicine, offered several examples of radiologists evolving in their role as biomedical data science experts.
“Modern imaging is information science and will improve the value proposition of imaging,” said Pettigrew. “Tomorrow‘s radiologist will leverage AI.”
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Dr. Elias Zerhouni, a radiologist, and biomedical engineer, former Director of the National Institutes of Health and now president of global research and development at Sanofi, position AI as the solution to one of the biggest threats to imaging – variation. Future value, he maintained, will be from radiologists who have common, cloud-based reference data correlated at the molecular, cellular and tissue levels.
In short, radiologists will be fine — provided they can change with the times.
9) OEMs tackle dose concerns with first-time right approach
Decreasing exposure to unnecessary radiation is a challenge radiologists and imaging equipment manufacturers struggle with year round, so although it isn't a new concept it was a topic getting a lot of traction at RSNA. Producing solutions to keep dosage to a minimum, to better monitor its administration and — most importantly — reducing the need for unnecessary repeat imaging exams.
For example, Konica Minolta showcased its new Realism system for processing bone and soft tissue data of images separately before piecing them back together. It enables increased sharpness and contrast to reveal subtle aspects, thereby allowing physicians to make a more complete diagnosis and possibly avoid taking another image. “If we can avoid another X-ray, the patient’s happier due to fewer exposures and shorter exams,” Guillermo Sander, senior marketing manager – Americas at Konica Minolta Healthcare Americas, told HCB News.