AI to shorten waiting time in mammography
New clinical research aims to explore if artificial intelligence (AI) can shorten what can often be a nervous waiting time to get results from mammography and improve the patient experience. Women who choose to take part in the study may have their mammograms reviewed by an investigational AI model that flags scans for immediate review by a radiologist if they show a higher likelihood of breast cancer. The study is made by Google Health and Northwestern Medicine.
If a radiologist determines that further imaging is required, the woman will have the option to undergo this imaging on the same day.
”With the use of artificial intelligence, we hope to expedite the process to diagnosis of breast cancer by identifying suspicious findings on patients’ screening examinations earlier than the standard of care,” says study principal investigator Dr. Sarah Friedewald, chief of breast imaging at Northwestern Medicine and vice chair for women’s imaging in radiology at Northwestern University’s Feinberg School of Medicine.
“Every patient in the study will continue to have their mammograms interpreted by a radiologist, but the artificial intelligence will flag and prioritize patients that need additional imaging, facilitating the flow of care.”
Google Health says the study will evaluate whether this prioritization could reduce the amount of time that women spend waiting for a diagnostic assessment. Women whose mammograms are not flagged will continue to have their images reviewed within regular timeframes.
This study with builds on previous research which demonstrated the potential of AI models to analyze de-identified retrospectively collected screening mammograms with similar or better accuracy than clinicians.
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