9 systems using AI to catch cancer

Here are nine systems and organizations developing artificial intelligence models to find and treat cancer faster:

  1. An emerging artificial intelligence-powered tool, known as Sturgeon, successfully diagnosed 45 out of 50 frozen brain tumor samples in just 40 minutes. In living patients, the tool was capable of accurately diagnosing 18 out of 25 cases.

  2. Detroit-based Karmanos Cancer Institute launched a questionnaire that identifies high-risk cancer patients with a few extra questions. The answers are fed into a program that produces a letter that identifies the patient's risk and the next steps to take.

  3. The recurrence of prostate cancer can now be detected 14.8 months sooner than existing clinical practices with new technology developed by a professor at Purdue University in West Lafayette, Ind.

  4. Rochester, Minn.-based Mayo Clinic is utilizing artificial intelligence to achieve earlier detection of pancreatic cancer in patients while the disease is still curable.

  5. Los Angeles-based UCLA is using AI supported, FDA-cleared technology to pinpoint exactly where tumors are located in the prostate and treat them in an outpatient setting.
  6. Palo Alto, Calif.-based Stanford Medicine researchers developed an artificial intelligence model that assesses stained images of glioblastoma tissue for aggressiveness of a patient's tumor, determines the genetic makeup and evaluates whether substantial cancerous cells remain after surgery.

  7. Baltimore-based Johns Hopkins researchers created a deep-learning model that can identify protein fragments in cancer cells that elicit a tumor cell-killing immune response.

  8. Hanover, N.H.-based Dartmouth created a Center for Precision Health and Artificial Intelligence to improve research into biomedical data assessment and patient outcomes.

  9. Boston-based Mass General Cancer Center and the Massachusetts Institute of Technology in Cambridge developed an AI tool that can detect early signs of lung disease years before physicians find it on a CT scan.

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