Artificial Intelligence Is Helping Doctors Find Breast Cancer Risk 30 Times Faster

SUDAN-HEALTH-CANCER-WOMENThe mammogram is one of medical science’s best tools for detecting breast cancer, but when the typically painful test reveals a potential problem, women frequently undergo breast biopsies for a closer look–a practice that’s all too often unnecessary, according to a group of artificial intelligence (AI) researchers, and which doctors may be able to significantly reduce thanks to a little insight from computers.

Announced today, researchers from Houston Methodist have developed AI software that can interpret mammogram results a full 30 times quicker than doctors and with 99 percent accuracy, according to the team’s recent study. Published in the journal Cancer, the study found that the software was able to intuitively translate patient charts into diagnostic information for human review at top speeds, which offers doctors reliable and seriously time-saving support when it comes to assessing patient cancer risk and the need for further tests.

By Janet Burns | Forbes

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About Peter Coffaro 1430 Articles
A growth-driven and strategic executive, Peter Coffaro commands more than 20 years of progressive management success within the medical device industry. As a District Sales Manager for Stryker Orthopaedics, Peter was responsible for managing and directing a regional sales force to achieve sales and profit goals within the Rocky Mountain region. Previously, he was the Director of Sales & Marketing for Amp Orthopedics. In this role, Peter was responsible for planning, developing, and leading all sales and marketing initiatives. Peter is a former orthopedic distributor in the Pacific Northwest. He has also worked with DePuy Orthopaedics as well as Zimmer, and held positions in sales, sales training, and sales management. Peter has an extensive background in organizational development, business development, sales management, negotiating and P&L management. Peter holds a B.S. degree in Biology from Northern Illinois University.

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