Machine learning algorithms can classify free-text pathology reports at the organ level and are easily interpreted by human readers, according to an Aug. 7 study published in Radiology: Artificial Intelligence.

The medical imaging industry contributes billions of dollars to state economies, according to three new reports published June 12, by the Medical Imaging & Technology Alliance (MITA). The findings, experts say, provide more reason to permanently repeal the medical device tax.

“Because this language model can so rapidly adapt to existing training labels, these results should not be considered the final work but rather a foundation upon which iterative improvement can be performed,” wrote the author of a new study published in the Journal of the American College of Radiology.

“Despite the common discovery of the (incidental lung nodule) ILN, assessment of radiology reports for lung nodule incidence and guideline concordance of recommendations is understudied,” wrote authors of research published in the Journal of the American College of Radiology.

Electronic medical records (EMRs) contain mounds of valuable, but unformatted information making it difficult to use as a source for research, wrote first author, Changhwan Lee, with Hanyang University in Seoul, Korea, and colleagues.  AI may be able to solve that problem.

Although online portals allow some patients to easily access their radiology reports, new research published Jan. 8 in the American Journal of Roentgenology found that lumbar spine MRI reports in particular are written at a reading level too advanced for the average patient to comprehend.

Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.

General Electric (GE) has filed the paperwork for an initial public offering (IPO) for its healthcare unit, GE Healthcare, according to numerous sources familiar with the ongoing situation. The offering is expected to take place by the middle of 2019.