Acta Scientific Otolaryngology (ASOL) (ISSN: 2582-5550)

Short Communication Volume 3 Issue 11

Transforming OMFS through Artificial Intelligence and Machine Learning

Neel Gupta*

Post Graduate Resident, Department of Oral and Maxillofacial Surgery, Institute of Dental Studies and Technologies, Modinagar, Ghaziabad, Uttar Pradesh, India

*Corresponding Author: Neel Gupta, Post Graduate Resident, Department of Oral and Maxillofacial Surgery, Institute of Dental Studies and Technologies, Modinagar, Ghaziabad, Uttar Pradesh, India.

Received: September 24, 2021; Published: October 08, 2021

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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.

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Citation

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




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Acceptance rate34%
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Impact Factor0.871

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