For years, patients have had to navigate a maze of conflicting mammogram advice. Now, artificial intelligence could help cut through the noise. - "Using AI to develop individualized screening schedules rather than one-size-fits-all recommendations" is where the field is heading, says J. Pierre Sasson, the department chair of radiology at Mount Auburn Hospital and assistant professor of radiology at Harvard Medical School.
The big picture: By analyzing thousands of mammograms and patient outcomes, new AI tools can help doctors better identify who's at highest risk — and when they should be screened. Zoom in: Mirai, Transpara, ProFound and Clairity Breast are emerging AI tools that use mammogram images to assess patient cancer risk. Between the lines: Major health organizations still differ on when women at average risk should get screened. - American Cancer Society: Annual screening is optional for ages 40–44; recommended for ages 45–54; every 1–2 years for ages 55+.
- American College of Radiology: Annual mammograms starting at 40.
- U.S. Preventive Services Task Force: Mammograms every other year for women ages 40–74.
And in addition to mammograms, there are other available screening tests, including ultrasound and CEM, often useful for patients with dense breasts. The latest: Sasson tells Axios that AI is already integrated into his hospital's workflow. For example, it flags suspicious areas on mammograms. Yes, but: "The human connection — compassion, reassurance and judgment — is still the heart of medicine," he says. What we're watching: AI is also driving cancer screening efforts outside of the standard mammogram: Tech startup SpotItEarly hopes to use it to track disease-sniffing dogs, and determine if they have subtle behaviors that could signal the presence of cancer in a patient's breath.
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