Technological Empowerment: Applications of Machine Learning in Oral Healthcare

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.