Studies Show Potential for Google’s AI Tools to Improve Pathologist Accuracy and Efficiency

Computer-assisted analysis using Google’s LYNA algorithm shows significant gains in speed required to analyze stained lymph node slides and sensitivity of micrometastases detection in two recent studies Anatomic pathologists understand the complexities of reviewing slides and samples for signs of cancer’s spread. Two studies involving a new artificial intelligence (AI) algorithm from Google (NASDAQ:GOOGL) claim their “deep learning” LYmph Node Assistant (LYNA) provides increases to both the...

Recent Acquisitions by Roche Highlight the Importance of Structured Data and Concerns for Diagnostics Providers and Pathology Laboratories

Data generated by medical laboratories and diagnostic providers takes an increasing role in treatment and precision medicine and allows greater analysis of data and integration of data into the care process Most anatomic pathologists recognize that the unstructured data that makes up most pathology reports also represents a barrier to more sophisticated use of the information in those pathology reports. One solution is for pathology groups to adopt synoptic reporting as a way to get a...
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