by Angela Guess

According to a recent press release, “Radiologists spend years acquiring and refining the skills needed to expertly interpret the subtle features found in medical images. A new software tool under development by Clearview Diagnostics called cCADTM* uses Artificial Intelligence (AI) to augment the radiologist’s decision making capability. The new AI tool’s algorithms have been shown in a forthcoming publication to improve the performance of diagnosing breast cancer. The paper shows that cancer detection rate can be maintained or even improved while reducing unnecessary breast biopsies by up to 55% using the cCADTM* algorithms. The study found that the performance of the individual radiologists was improved while the variation among the radiologist was reduced when using the cCADTM* algorithms.”

The release goes on, “The paper indicates that all stakeholders should benefit from the use of cCADTM* technology. The costs to the patients, the healthcare payers and radiology imaging centers all stand to be reduced by reducing unnecessary biopsies. Approximately 80% of the 1.6 million biopsies performed every year in the US are found to be benign or non-cancerous. Reducing unnecessary breast biopsies by earlier identification of benign conditions will result in hundreds of thousands of women avoiding the unnecessary anxiety and inconvenience of getting breast biopsies. The paper references the fact that breast biopsies burden individual patients with an additional $310 on average in out-of-pocket costs. This cost would imply that an AI assistant could save women in the U.S. alone over $200 million in direct out-of- pocket costs. This savings for patients does not include the added costs saved due to the need to take time off from work, travel expenses, child care, etc.”

Read more at PRWeb.

Photo credit: Clearview Diagnostics