A peer-reviewed Harvard Medical School study recently published in Nature shows how a new artificial intelligence (AI) digital pathology tool called CHIEF (Clinical Histopathology Imaging Evaluation Foundation) outperforms state-of-the-art deep learning methods and detects multiple cancer types with up to 96 percent accuracy.

Cancer is one of the leading causes of death, responsible for an estimated 9.3 million deaths worldwide each year, according to the World Health Organization (WHO).

Early detection of cancer may result in better outcomes. The five-year survival rate for many cancers is more than 90 percent when detected early, according to the American Cancer Society. According to the National Cancer Institute’s survival statistics in the SEER (Surveillance, Epidemiology, and End Results) database, the five-year relative survival rates for localized stage cancers are nearly 100 percent for prostate, 99 percent for breast, 91 percent for colorectal, 91 percent for cervical, and 65 percent for lung cancers.

According to Grand View Research, AI in oncology is expected to reach USD 19 billion in revenue globally by........

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