
The paper presents a concept of an experimental module designed to recognize spoken utterances that cover a limited range of words indispensable in dialogs with computer medical systems. Research into the recognition of spoken words by a module based on artificial neural network is described. Usefulness of the obtained results for surgery-assisting multimedia systems and for a patient simulator supporting medical education of students in case history-taking and diagnosing is also discussed.
Education, Medical, Expert Systems, Patient Simulation, Computer Communication Networks, User-Computer Interface, Multimedia, Artificial Intelligence, Computer Systems, Surgical Procedures, Operative, Humans, Speech, Diagnosis, Computer-Assisted, Neural Networks, Computer, Poland, Medical History Taking
Education, Medical, Expert Systems, Patient Simulation, Computer Communication Networks, User-Computer Interface, Multimedia, Artificial Intelligence, Computer Systems, Surgical Procedures, Operative, Humans, Speech, Diagnosis, Computer-Assisted, Neural Networks, Computer, Poland, Medical History Taking
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