Simulation TMJ clinic by Using Intelligence Techniques

The research aims is structuring the TMJ clinic; it is a computerized system that diagnoses and treats the clinical cases through a computing statistical basis for the serious cases.This system helps to take broad decisions broad in dentistry and in diagnosis.Artificial networks have been used to find first the major exponents of the TMJ diseases, in order to exploit a training basis (Hebbians Network) to help to shed light on the affecting variance as to get almost less variance with a large amount of information. second to show how the variables under discussion interact and cause specific outcomes. We use BBN and we have some conclusions about this . The current system has a proper of being quick storage and restoration,and updating the information for each patient, as well as new items benefit & inhgacate all patients.The system includes a general and specific statistics for individual patients or clinics, and it is interchangeable spontaneously according to the case. There are several queries and reports.This system has been followed on (80) patients from the outpatient dept. of Al-Salaam university Hospital/Dentistry college / TMJ unit at Mosul University.The possibility of application has been suggested to the private and general clinics.Database has been designed by Microsoft Access and programmed by visual Basic V.6.0.