학술논문

Technological Empowerment: Applications of Machine Learning in Oral Healthcare
Document Type
Conference
Source
2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Advancements in Smart, Secure and Intelligent Computing (ASSIC), 2022 International Conference on. :1-4 Nov, 2022
Subject
Bioengineering
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Decision support systems
Pathology
Machine learning algorithms
Automation
Software algorithms
Machine learning
Medical services
Artificial Intelligence
dental imaging
sleep apnoea
support vector
TMD
Language
Abstract
In the era of Artificial Intelligence the old paradigm of oral healthcare has got augmented with automation. Combining thinking abilities of human mind with the cutting edge technology of machine learning can aid the clinicians meet the growing needs and ensure cordial patient-doctor partnership. Advanced software and computing tools are being used to identify problem areas with lesser reporting time and appropriate clinical decision support system to track clinical outcomes. The perceptive abilities of machine learning is directly proportional to information obtained from patients, images, material applications and treatments done. The specialized algorithms are able to predict unexpected complications likely to be encountered and under-diagnosis of rare pathologies that otherwise might be missed due to limitations of clinicians expertise in that area. Today it is essential to embrace machine learning programmes to evolve age old working practices for greater performance and better outcomes by bridging the existing gap between diagnosis and treatment planning. The paper discusses and acknowledges the performance and futuristic applications of machine learning in various subareas of oral health and research.