Application of Artificial Intelligence in Prosthodontics in the 21st century
Artificial Intelligence AI has transformed various sectors with healthcare and particularly dentistry emerging as key beneficiaries. In prosthodontics AI applications including machine learning deep learning and...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Rajiv Gandhi University of Health Sciences
2025-01-01
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| Series: | RGUHS Journal of Medical Sciences |
| Online Access: |
https://journalgrid.com/view/article/rjms/12434448 |
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| Summary: | Artificial Intelligence AI has transformed various sectors
with healthcare and particularly dentistry emerging as key beneficiaries. In
prosthodontics AI applications including machine learning deep learning and
neural networks are streamlining diagnosis treatment planning and prosthesis
fabrication. AI aids in designing custom-fit crowns bridges and dentures
improving clinical outcomes and reducing chairside time. In implantology AI
enhances surgical precision by analyzing CBCT images to guide implant
placement minimizing complications. Studies have demonstrated AIs
effectiveness in improving accuracy with some models achieving up to 97
success in tasks like crown margin identification and denture design. AI
tools can also assess occlusion guide shade matching and enhance the casting
process reducing manual errors. In removable prosthodontics convolutional
neural networks CNNs have enabled accurate classification of partially
edentulous arches and prediction of facial aesthetics. For maxillofacial
prostheses AI supports non-surgical rehabilitation using smart devices
enhancing color matching and comfort. Despite these advancements challenges
persist. Limitations include a lack of data privacy insufficient
practitioner training high implementation costs ethical concerns and
incomplete standardization of AI algorithms. AI remains semi-automated
relying heavily on high-quality datasets. Human expertise and clinical
judgment remain irreplaceable. AI holds promising potential to enhance the
quality efficiency and personalization of dental care. However its
integration into clinical practice requires further empirical validation
structured training modules and regulatory oversight. With responsible
implementation AI can augment dental education and practice particularly in
prosthodontics and oral implantology paving the way for a new era of
precision and patient-centered care. |
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| ISSN: | 2231-1947 2581-7248 |