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An innovative PantoDict program for reporting panoramic radiographs using automatic speech recognition in dental
Anna Bock1, Dirk Elvers1, Evgeny Goloborodko1
1Department of Oral, Maxillofacial Surgery, University Hospital of Aachen University, Aachen, Germany.
An e-learning program with automatic speech recognition significantly improved dental students' panoramic radiograph interpretation scores. This digital tool enhances radiology report completion and can supplement traditional teaching methods.
Area of Science:
- Dental Education
- Radiology Training
- E-learning Technologies
Background:
- Effective interpretation of panoramic radiographs is crucial in dental diagnostics.
- Traditional teaching methods for radiology reporting may have limitations in scalability and standardization.
- Digital learning tools offer potential to enhance dental education outcomes.
Purpose of the Study:
- To evaluate the impact of an e-learning program with automatic speech recognition (ASR) on dental students' ability to interpret panoramic radiographs.
- To compare the effectiveness of the PantoDict e-learning program against conventional instruction and a blended approach.
Main Methods:
- Thirty-six dental students were randomly assigned to three groups: e-learning only (PantoDict), blended learning (PantoDict + conventional), and conventional instruction only.
- All participants received three seminars and completed an examination on panoramic radiograph reporting.
- Student satisfaction and perceived knowledge/confidence improvement were assessed.
Main Results:
- Groups utilizing the PantoDict e-learning program (PantoDict only and blended learning) achieved significantly higher examination scores compared to the conventional instruction group (P ≤ .002).
- Students in the conventional group reported greater improvements in knowledge and confidence than those using e-learning exclusively.
- Participants expressed satisfaction with the e-learning module's usability and didactics, with a majority preferring its continuous use.
Conclusions:
- The e-learning program incorporating automatic speech recognition is effective for improving radiology report generation.
- This digital tool serves as a valuable complementary resource to traditional face-to-face dental education.
- Further refinement, potentially including instructor support, may enhance the e-learning experience for specific components like initial seminars.
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