NeuralTools Helps Hospital with Tumor Diagnosis
21 February 2006, Stuttgart, Germany - Palisade Corporation, the leading provider of risk analysis software has today announced that its new analysis tool, NeuralTools, is being used by the Katharinenhospital in Stuttgart for histological classification and grading of tumors.
Tumor grading is a very important aspect of diagnosis since the treatment and the outcome of each case depends greatly on the assigned grade. The aim of Dr. Iglesias-Rozas, Associate Professor at the Universität Tübingen and researcher at the Laboratory of Neuropathology in the Institute of Pathology at Katharinenhospital, was to predict the degree of malignancy of tumors based on ten discreet characteristics in 786 patients.
Dr Iglesias-Rozas said, “I am delighted with NeuralTools for its speed and ease of use and I was very happy to work with numeric and category variables. We have over 30 years of data and more than 8000 patients with different brain tumors to assess next, and plan to continue using NeuralTools to provide the predicted outcomes.”
Quantitative diagnostic assessments in histopathology (microscopic changes in diseased tissue) must frequently deal with uncertain information and vague linguistic terms. Final decisions are rarely based on the evaluation of a single diagnostic clue; instead multiple pieces of evidence are routinely observed and the certainty of combined evidence supports the final diagnosis. Neural networks analysis, which intelligently predicts outcomes based on multiple pieces of input data, is a natural fit for this type of medical diagnosis.
Neural networks are a rapidly expanding approach to data analysis and prediction, but one that has been implemented primarily by analysts with an advanced understanding of data analysis and artificial intelligence. NeuralTools offers the power of sophisticated analysis, as well as instant updating with Palisade’s proprietary Live Prediction, to the everyday spreadsheet user.
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