It is exciting to see the progression of the use of advanced analytics technologies in the health and life sciences space to augment diagnostics in healthcare that have the potential to detect breast cancer faster and save lives.
We still have a lot to learn about harnessing the power of artificial intelligence and machine learning, but we must continue to press on to help clinicians and the FDA understand the opportunities and the risks. We also must evolve our thinking about intellectual property protection so that the companies that are investing in these technologies can share enough information to enable clinicians to trust the results while still providing the incentives for companies to invest.
Below is an excerpt from the article and at the bottom a link to read the entire article.
“There are some promising signs that the model could potentially increase the accuracy and efficiency of screening programs, as well as reduce wait times and stress for patients,” Shravya Shetty, Google’s technical lead on the project, wrote in a blog post Wednesday.
“But getting there will require continued research, prospective clinical studies and regulatory approval to understand and prove how software systems inspired by this research could improve patient care,” she added later.
Google and its partners trained the AI model using de-identified mammogram images from more than 90,000 women in the U.K. and U.S., then evaluated it on data from 28,000 more women. Specific to the United States study population, the model produced a 5.7% reduction in false positives and a 9.4% reduction in false negatives.
Full Article: https://www.radiologybusiness.com/topics/artificial-intelligence/google-artificial-intelligence-breast-cancer-radiologists