The use of artificial intelligence and machine learning may aid cancer prognosis. Artificial intelligence can detect tumours that are already present and identify persons who are at high risk of getting the illness before the disease has a chance to take hold. This enables physicians to carefully watch these patients and respond as soon as necessary if the situation calls for it.
To get this clearance, the FDA reviewed data from a clinical investigation in which 16 pathologists analysed 527 prostate biopsy pictures for evidence of cancer as a prerequisite to granting the approval. Each doctor conducted two evaluations, one with the assistance of Paige Prostate and the other without assistance. A trial indicated that the use of this artificial intelligence-based technology increased the rate of cancer diagnosis by an average of 7.3 percent.
Google's research team developed artificial intelligence-powered software that reduced the number of false-positive mammography readings by 6 percent and the number of false-negative mammogram readings by 9 percent. Another group of scientists has created an artificial intelligence system for the identification of breast cancer. When tested, this model was shown to have assisted radiologists in reducing false-positive rates by 37.3 percent.