Healthcare IT News October 24, 2024
Also: New studies find commercial artificial intelligence algorithms developed for breast cancer detection may identify women at high risk of future malignancy – up to six years ahead of occurrence.
Health systems that embrace artificial intelligence tools can not only improve radiology operations and quality but patient follow-up as well, which can result in greater staff efficiencies, higher patient completion rates and better access and outcomes for patients.
A collaboration between East Alabama Medical Center, Inflo Health and the American College of Radiology Learning Network began using machine language models and advanced natural language processions to extract data from radiology reports to improve its follow-up with pulmonary patients while Stamford Health in Connecticut was able to extend additional radiological measures...
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