⚡ Quick Summary
This study explores the transformative role of Artificial Intelligence (AI) in oral and maxillofacial surgery (OMS), highlighting its potential to enhance diagnostic precision and treatment efficiency. A significant increase in AI-related research was noted post-2019, with 95.6% of reviewed studies published in this period.
🔍 Key Details
- 📊 Dataset: 90 articles analyzed from OMS literature
- 🧩 Focus areas: Pathology, orthognathic surgery, facial trauma, and more
- ⚙️ Technologies used: Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs)
- 🏆 Key applications: Lesion detection, surgical planning, and facial bone segmentation
🔑 Key Takeaways
- 📈 Surge in AI research in OMS, with 95.6% of studies published after 2019.
- 💡 AI applications primarily focus on pathology and orthognathic surgery.
- 🤖 CNNs and ANNs are the predominant technologies used for classification tasks.
- 🏥 Potential for improved clinical outcomes through enhanced diagnostic capabilities.
- 🌍 Urgent need for further research to optimize AI integration in clinical practice.
📚 Background
The integration of Artificial Intelligence into healthcare has been a topic of growing interest, particularly in specialized fields like oral and maxillofacial surgery. AI technologies have the potential to mimic intelligent human behaviors, thereby enhancing the precision and efficiency of diagnostics and treatments. However, the current state of AI in OMS literature indicates a need for more comprehensive research to fully realize its benefits.
🗒️ Study
This study conducted a scoping review of the existing literature on AI applications in OMS, utilizing a systematic search of PubMed with keywords such as “artificial intelligence,” “machine learning,” and “deep learning.” The review focused on various subcategories within OMS, including pathology, orthognathic surgery, and facial trauma, among others.
📈 Results
The analysis revealed a remarkable increase in AI-related studies, with 95.6% of the total articles published after 2019. The primary applications of AI were found in pathology for tasks like lesion detection and in orthognathic surgery for surgical planning through facial bone segmentation. The predominant technologies employed were convolutional neural networks (CNNs) and artificial neural networks (ANNs), which have shown promise in improving clinical outcomes.
🌍 Impact and Implications
The findings of this study underscore the potential of AI to revolutionize oral and maxillofacial surgery. By enhancing diagnostic accuracy and treatment planning, AI can lead to better patient outcomes and more efficient surgical procedures. As interest in AI continues to grow, it is crucial to prioritize further research to optimize its integration into clinical practice.
🔮 Conclusion
This study highlights the significant potential of AI in oral and maxillofacial surgery, particularly in enhancing diagnostic and treatment capabilities. As the field evolves, ongoing research will be essential to fully harness the benefits of AI technologies, paving the way for improved patient care and surgical outcomes. The future of OMS looks promising with the integration of AI!
💬 Your comments
What are your thoughts on the integration of AI in oral and maxillofacial surgery? We would love to hear your insights! 💬 Share your comments below or connect with us on social media:
Empowering surgeons: will artificial intelligence change oral and maxillofacial surgery?
Abstract
Artificial Intelligence (AI) can enhance the precision and efficiency of diagnostics and treatments in oral and maxillofacial surgery (OMS), leveraging advanced computational technologies to mimic intelligent human behaviors. The study aimed to examine the current state of AI in the OMS literature and highlight the urgent need for further research to optimize AI integration in clinical practice and enhance patient outcomes. A scoping review of journals related to OMS focused on OMS-related applications. PubMed was searched using terms “artificial intelligence”, “convolutional networks”, “neural networks”, “machine learning”, “deep learning”, and “automation”. Ninety articles were analyzed and classified into the following subcategories: pathology, orthognathic surgery, facial trauma, temporomandibular joint disorders, dentoalveolar surgery, dental implants, craniofacial deformities, reconstructive surgery, aesthetic surgery, and complications. There was a significant increase in AI-related studies published after 2019, 95.6% of the total reviewed. This surge in research reflects growing interest in AI and its potential in OMS. Among the studies, the primary uses of AI in OMS were in pathology (e.g., lesion detection, lymph node metastasis detection) and orthognathic surgery (e.g., surgical planning through facial bone segmentation). The studies predominantly employed convolutional neural networks (CNNs) and artificial neural networks (ANNs) for classification tasks, potentially improving clinical outcomes.
Author: [‘Sillmann YM’, ‘Monteiro JLGC’, ‘Eber P’, ‘Baggio AMP’, ‘Peacock ZS’, ‘Guastaldi FPS’]
Journal: Int J Oral Maxillofac Surg
Citation: Sillmann YM, et al. Empowering surgeons: will artificial intelligence change oral and maxillofacial surgery?. Empowering surgeons: will artificial intelligence change oral and maxillofacial surgery?. 2024; (unknown volume):(unknown pages). doi: 10.1016/j.ijom.2024.09.004