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NLP for Speech Input in Dentistry

Developing a Semantic Model for NLP in Dentistry

We are using recordings of dictated patient exams to create a natural language processing semantic model for dentistry. Our model will extract common findings and their modifiers from free text dental exams to eventually automatically chart patient data.


Involved Persons:

Project Leader: Jeannie Irwin (University of Pittsburgh)
Other involved People: Wendy Chapman, Henk Harkema, Lee Christensen, Titus Schleyer, Peter Haug and Heiko Spallek


Is the project funded?yes
Funding source:NIDCR R01

Other information:

Duration of project:2 years
Personnel needed:Dentists in the Pittsburgh area willing to record their patient exams.

DIOC user:

jeannieirwin (12 star_purple), University of Pittsburgh
jeannieirwin's interests: computer-based patient records, implementation/maintenance of IT, evidence-based dentistry/electronic information resources, research methods, voice interfaces


jeannieirwin (12 ), 03/16/2011:
Test Comment
titus schleyer (102 ), 11/17/2009:
At this point we are looking for additional transcripts of dictations of comprehensive initial oral examinations. The purpose of enlarging the "corpus" of text documents we have is to make the system more robust by teaching it how different dentists speak.

If you can contribute to the project in this way, please contact me (titus @ pitt dot edu). Thanks.


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