Keywords: Artificial Intelligence (AI); Machine Learning; Deep Learning; Neural Networks; Augmented Reality

The intelligence shown by computed machines is known as artificial intelligence (A.I.). It is also sometimes referred to as "machines that imitate cognitive functions associated with the human mind, including as learning and problem solving” [1]. AI is already present in our daily lives via smartphones and automobiles. It has now made its way into the field of surgery. Fortunately, as the area of robotic surgery has progressed, more doctors are becoming interested in the technology and the possibility for autonomous movements in procedures like interventional radiology, endoscopic surgeries, and Head and Neck surgeries. Many surgeons have been hesitant to accept robots because of the lack of motion controllers, or the feeling of touch; however, now that the actual potential of robotics has been realised, the surgical community's embrace of AI is more pertinent than ever.

References

1. Russell S and Norvig P. Artificial intelligence a modern approach third edition (Pearson, 2010).
2. Zhang W., et al. “Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation”. Scientific Report (2018): 12281.
3. Lee KS., et al. “Deep convolutional neural networks based analysis of cephalometric radiographs for diferential diagnosis of orthognathic surgery indications”. Applied Science 10 (2020): 2124.
4. Yang H., et al. “Deep learning for automated detection of cyst and tumors of the jaw in panoramic radiographs”. Journal of Clinical Medicine 9 (2020): 1839.
5. Kim DW., et al. “Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report”. Bone (2018): 207-214.

Citation

Citation: Neel Gupta. “Transforming OMFS through Artificial Intelligence and Machine Learning".Acta Scientific Otolaryngology 3.11 (2020): 09-10.

Copyright

Copyright: © 2020 Neel Gupta. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.