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Tuesday, 14 March 2023

A Brief Overview on Artificial Intelligence in Dentistry | Chapter 10 | Research Developments in Medicine and Medical Science Vol. 4

Artificial intelligence has altered the health care system accompanying its colossal application in various fields of cure. AI has many subfields, of which machine intelligence has the major contribution in reconstructing the delivery of health management to the population.Medical AI has taken spotlight in modern research. Medical AI uses range from the detection of various malignant tumors to the prediction of arrhythmia attacks. The improving of such AI embedded methods into the medical declaration has streamlined analysis in addition to aided specialists in reaching a more efficient and correct diagnosis. This has more translated in the field of dentistry place strong deep knowledge architectures such as Convolutional neural networks in the form of Resnet, Inception, GoogleNet etc have happened used to process raw figures and detect a range of dental diseases.This division aims to provide an survey of progress made in the field of Machine Learning, accompanying a particular prominence on its medical and dental requests. Different aspects of Machine Learning are examined in terms of their strengths, proneness, and how machine intelligence has been used to solve questions in the medical field. A explanatory overview about state-of-the-art machine intelligence-based uses used in various dental subfields is examined, along with current challenges the manufacturing faces today.

Author(s) Details:

Iman Baig,
Islamabad Medical and Dental College, Pakistan.

Saima Azam,
Islamabad Medical and Dental College, Pakistan.

Talha Bin Mushtaq,
Islamabad Medical and Dental College, Pakistan.

Please see the link here: https://stm.bookpi.org/RDMMS-V4/article/view/9839

A Brief Overview on Artificial Intelligence in Dentistry | Chapter 10 | Research Developments in Medicine and Medical Science Vol. 4

Artificial intelligence has transformed the health care system with its vast application in various fields of medicine. AI has many subfields, of which machine learning has the major contribution in improving the delivery of health care to the population.

Medical AI has taken center stage in modern research. Medical AI applications range from the detection of various cancerous tumors to the prediction of arrhythmia attacks. The augmentation of such AI embedded techniques into the medical profession has streamlined analysis as well as aided professionals in reaching a more efficient and accurate diagnosis. This has also translated in the field of dentistry where strong deep learning architectures such as Convolutional neural networks in the form of Resnet, Inception, GoogleNet etc have been used to process raw images and detect a range of dental diseases.

This chapter aims to provide an overview of progress made in the field of Machine Learning, with a particular emphasis on its medical and dental applications. Different aspects of Machine Learning are discussed in terms of their strengths, weaknesses, and how artificial intelligence has been used to solve problems in the medical field. A descriptive overview about state-of-the-art machine learning-based applications used in various dental subfields is discussed, along with current challenges the industry faces today.