Authors of the research, published in the Korean Journal of Radiology, analyzed 516 published studies and found only six percent (31 studies) externally validated their AI.

An AI approach developed by Dutch researchers performed similarly to radiologists at detecting breast cancer, according to a multi-center, multi-dataset study published March 5 in the Journal of the National Cancer Institute.

The researchers believe their algorithm could help pathologists classify the histologic patterns of lung adenocarcinoma—the most common form of the disease—and potentially lead to more accurate staging.

The American College of Radiology (ACR) is asking for comments to be submitted by April 15.

Google and its sister company Verily announced on Monday, Feb. 25, the development of an AI-based algorithm that can screen eye imaging exams for diabetic retinopathy and diabetic macular edema—two of the leading causes of preventable blindness in adults with diabetes, according to a recent report by CNBC.