Google's AI Bested Doctors in Detecting Breast Cancer in Mammograms

Wednesday, January 1, 2020

Time (1/1) reports on a study published in Nature journal in which researchers from Google Health, and from universities in the U.S. and U.K., report on an AI model that reads mammograms with fewer false positives and false negatives than human experts.

Artificial intelligence bolsters breast cancer risk prediction

Tuesday, December 17, 2019

Radiology Business (12/17) reports that Swedish scientists have developed a sophisticated new artificial intelligence model that may greatly improve radiologists’ ability to predict breast cancer risk when compared to traditional methods, according to a study published in Radiology.

Biopsy protocol rules out surgery for women after chemo

Monday, December 16, 2019

Aunt Minnie (12/16) reports that vacuum-assisted image-guided breast biopsy can reliably predict which breast cancer patients treated with chemotherapy have responded well enough that follow-up surgery is not required to remove residual cancer, according to a presentation at the 2019 San Antonio Breast Cancer Symposium (SABCS).

Risk of breast cancer higher among black men than white men, study finds

Thursday, December 12, 2019

UPI (12/12) reports on a study supported by the American Cancer Society and published in INCI Cancer Spectrum which reveals that black men are more likely than white men to develop hormone receptor positive, or HR+, breast cancer, even though the opposite is the case for women with the disease.

FFDM may beat analog and CR for breast cancer screening

Tuesday, December 10, 2019

Aunt Minnie (12/10) reports on a study published in Radiology which states that full-field digital mammography (FFDM) detects breast cancer better than either analog film-screen mammography or computed radiography (CR), regardless of age, breast density, or screening round.


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