Deep Learning Approaches for Automated Diagnosis and Treatment Planning in Dentistry
Keywords:
Deep Learning, Dentistry, Diagnosis, Treatment Planning, Automation, Image Recognition, Pattern Analysis, Healthcare, Technology, Artificial IntelligenceAbstract
This paper explores the potential of deep learning approaches in revolutionizing the field of dentistry by automating the processes of diagnosis and treatment planning. Deep learning has shown remarkable capabilities in image recognition and pattern analysis, making it a promising technology for enhancing the efficiency and accuracy of dental practices. By analyzing a vast amount of dental data, including images, patient records, and treatment outcomes, deep learning models can assist dentists in diagnosing oral conditions and planning treatments tailored to individual patient needs. This paper reviews recent advancements in deep learning for dentistry, discusses challenges and future directions, and highlights the benefits of integrating these technologies into dental healthcare.
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