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USPSTF recommends mammogram for patients 40yrs+ ; How can AI help with the increased demand?
In recent news, the U.S. Preventative Services Task Force (USPSTF) is now urging all women to begin undergoing screening mammogram every other year starting at age 40. This recommendation will undoubtedly cause an increase in patient load for any clinic offering mammography services. This is where Alpha Nodus and their product, Gravity, come into play. Gravity leverages AI to evaluate the schedule of a radiology practice and identify upcoming appointments that may not show up, or will cancel or be late. The deep learning product considers 35 internal variables such as patient history as well as 15 external variables such as traffic and weather predictions for the appointment times. The Gravity neural network is able to predict late-arriving or no-show patients long before the event occurs. Once Gravity identifies the expected opening in the schedule, it uses AI to evaluate other patients on the schedule farther out. Gravity will then engage that patient via phone and text to nudge them into an earlier appointment that is expected to become open, based on the Gravity AI predictions. This will not only help the clinic accommodate more patients, but it will also provide patients with more convenient appointment times.
