Development and Operation of a Website for Enhanced Artificial Intelligence Applications in Medical Diagnosis, Treatment and Prognosis

نویسندگان

  • Bela Molnar
  • Rainer Schaefer
چکیده

Medical diagnosis and decision making is rather an empirical than a statistical process. Improvements in artificial intelligence methods (Neural networks, fuzzy systems, genetic algorithms) have opened a new way for developing MedicalDecision-Support-Systems. As there is no established communication platform in this specialized research field, the authors designed a “virtual-text-book“ for interested specialists from both the medical and the mathematical discipline. The site contains the following chapters: Neurons/networks: introduction/backgrounds Networks/models: mathematical treatment Neural networks @work: PENN-application for Hook-Effect-Detection Literature: search in literatureand patent-databanks Medicine/AI: medical information, data collection, alternative AI-methods Neural networks: training program, links to other Neural network information sources The present development intends to establish a “Community“ working on the application of artificial intelligence techniques in medical diagnosis and decision making. Topics are the communication platform, medical databases, training and evaluation, announcement of new methods, mathematical aspects, standardized application interfaces. Representatives from industry are invited to test the Neural network algorithms/tools for implementation into automated diagnostic systems.

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تاریخ انتشار 1999