Diagnostic Reading #43: Five “Must Read” Articles on HIT and Radiology
New developments in augmented reality and safer X-rays.
This week’s articles in Diagnostic Reading include: FDA approves AR medical solution; breakthrough might lead to safer, more affordable X-rays; a global perspective on past advances in medical imaging; 3D medical models in pediatrics; interoperability challenges at NHS; and a study of free-text vs. structured radiology reports.
The FDA has recently given 510(k) clearance to the OpenSight Augmented Reality System. This is the first augmented reality (AR) medical solution for Microsoft HoloLens cleared for use in pre-operative surgical planning. The technology projects 2D, 3D and 4D images of patients interactively by overlaying them onto the patient’s body.
Breakthrough could lead to safer, more affordable X-ray imaging – Radiology Business
The work of chemists from the National University of Singapore (NUS) could someday lead to safer, more affordable X-rays, according to research recently published in Nature. The researchers have developed lead halide perovskite nanocrystals that are sensitive to X-ray irradiation. By using these nanocrystals with flat-panel X-ray imaging equipment, they found that it resulted in a new type of detector that can sense X-rays with approximately 400 less radiation than current healthcare providers use in standard practice.
IDOR2018: A global perspective on advances in diagnostic imaging – Everything Rad
IDOR 2018 is Nov. 8. To mark the occasion, Carestream asked thought leaders worldwide to reflect on the biggest advances in diagnostic imaging in the past decade. Next week, we will publish Part 2 with their outlook on the future.
Lives in their hands – Radiology Today
At Nemours Children’s Hospital in Orlando, radiology technologists and radiologists are making the connection between children and smaller-sized re-creations by making 3D medical models of their tumors and damaged vital organs, taking radiologic images from the screen to the palm of the hand. With this technology, Nemours developed an in-house program that goes from image acquisition to software processing to printing to holding a replica of the disease at a patient’s bedside.
AI detects more variation in free-text radiology reports than structured reports – Radiology Business
A natural language processing (NLP) and machine learning algorithm was trained to evaluate variation in both free-text radiology reports and structured radiology reports, according to recent research published in Current Problems in Diagnostic Radiology. The variation was more prevalent in free-text reports. Though standardized reports improve communication in comparison to free-text reports, the authors wrote, that increased variability exists with standardized templates.
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