Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Brief Introduction to Artificial Intelligence and Machine Learning Publisher



Motamedian SR1, 2 ; Hassanzadehsamani S2 ; Nadimi M3 ; Shobeiri P4, 5, 6 ; Motie P7 ; Rohban MH8 ; Mahmoudinia E8 ; Mohammadrahimi H2, 8
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Orthodontics, Dentofacial Deformities Research Center, Research Institute of Dental Sciences, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  2. 2. Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany
  3. 3. Department of Cardiology, Cardiovascular Diseases Research Center, Heshmat Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
  4. 4. School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
  5. 5. Universal Scientific Education and Research Network (USERN), Tehran, Iran
  6. 6. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Isfahan, Iran
  7. 7. Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  8. 8. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Source: Emerging Technologies in Oral and Maxillofacial Surgery Published:2023


Abstract

Artificial intelligence (AI) has made it possible for machines to perform human tasks. Healthcare is one of the main fields where AI and machine learning have been successfully employed. There have been many articles presenting the various applications of AI and its favorable outcomes in dentistry and maxillofacial surgery. It may be difficult for dental researchers to understand and interpret these studies since they are different in methodology. In addition, they are unfamiliar with the definitions and terminology used in these articles. The purpose of this chapter is to provide an explanation of the terms and concepts frequently used in AI articles and, specifically, in the following two chapters where we discussed its current application in maxillofacial surgery and its future. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Related Docs
1. Artificial Intelligence for Classification and Detection of Oral Mucosa Lesions on Photographs: A Systematic Review and Meta-Analysis, Clinical Oral Investigations (2024)
2. Future Trends of Using Artificial Intelligence in Oral and Maxillofacial Surgery, Emerging Technologies in Oral and Maxillofacial Surgery (2023)
3. Application of Artificial Intelligence in Diagnosing Oral and Maxillofacial Lesions, Facial Corrective Surgeries, and Maxillofacial Reconstructive Procedures, Emerging Technologies in Oral and Maxillofacial Surgery (2023)
4. Predicting Mandibular Bone Growth Using Artificial Intelligence and Machine Learning: A Systematic Review, Advances in Artificial Intelligence and Machine Learning (2024)
5. Application of Deep Learning Algorithms in Segmentation of Mandibular Nerve Canal in Orthopantomogram (Panoramic) Radiographs: A State-Of-Art Systematic Review, Advances in Artificial Intelligence and Machine Learning (2024)
6. A Scientific Forecast on Dental Research Output Within the Next 20 Years Using Exponential Smoothing Algorithm, Dental Hypotheses (2017)
7. Medical, Dental, and Nursing Students’ Attitudes and Knowledge Towards Artificial Intelligence: A Systematic Review and Meta-Analysis, BMC Medical Education (2024)
8. Nf-Rcnn: Heart Localization and Right Ventricle Wall Motion Abnormality Detection in Cardiac Mri, Physica Medica (2020)
Experts (# of related papers)
View all Related Experts
Parisa Soltani (2)
Raheleh Kafieh (1)