Artificial Intelligence in the Oncology Lab
Everywhere you turn people are discussing the future ramifications for AI. Here are three articles about the advances and uses of artificial intelligence in the diagnoses of cancer:
AI Mitotic Counting algorithm was demonstrated effective for cutaneous mast cell tumor, breast cancer, lymphoma, lung cancer, melanoma, neuroendocrine, colon cancer, and bladder carcinoma.
A new study by the National Institutes of Health (NIH) confirms that AI effectively detects Polycystic Ovary Syndrome (PCOS). Researchers reviewed 135 peer-reviewed studies that used AI to detect PCOS.
New AI accurately predicts esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years prior to a diagnosis. The Kettles Esophageal and Cardia Adenocarcinoma prediction tool (K-ECAN) examined data regarding EAC and GCA rates in over 10 million U.S. veterans (findings published in Gastroenterology).
About Comp Pro Med’s Polytech LIS
For four decades, Comp Pro Med has focused on developing a world-class laboratory information system. CPM has wide-ranging experience providing LIS solutions for individual labs and hospitals to networks of governmental medical facilities.
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Our focused customer-driven approach combines our state-of-the-art feature-rich Polytech clinical laboratory information system with superior support from seasoned system engineers. Our expertise includes not only continuous development of the Polytech LIS to incorporate the latest technology and regulatory requirements, but also direct interfaces that seamlessly connect your LIS with analyzers, instruments and other systems such as reference laboratories, HIS, EMR, EHR, billing and practice management systems.