Published 01-05-2024
Keywords
- Autonomous Dental Healthcare,
- Artificial Intelligence,
- Robotics,
- Integration,
- Diagnosis
- Treatment Planning,
- Surgery,
- Patient Care,
- Future Directions ...More
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
Abstract
The integration of Artificial Intelligence (AI) and robotics in autonomous systems for dental healthcare is a burgeoning field with significant implications for improving patient care and workflow efficiency. This paper provides a comprehensive review of the current state of AI and robotics integration in dental healthcare, highlighting key technologies, applications, benefits, and challenges. The review encompasses recent developments in AI algorithms, robotic systems, and their integration into dental practice, focusing on diagnosis, treatment planning, surgery, and patient care. Additionally, this paper discusses the potential future directions and impacts of autonomous dental healthcare systems on the dental profession.
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References
- Jha, Rajesh K., et al. "An appropriate and cost-effective hospital recommender system for a patient of rural area using deep reinforcement learning." Intelligent Systems with Applications 18 (2023): 200218.
- Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
- Pulimamidi, Rahul. "To enhance customer (or patient) experience based on IoT analytical study through technology (IT) transformation for E-healthcare." Measurement: Sensors (2024): 101087.
- Sasidharan Pillai, Aravind. “Utilizing Deep Learning in Medical Image Analysis for Enhanced Diagnostic Accuracy and Patient Care: Challenges, Opportunities, and Ethical Implications”. Journal of Deep Learning in Genomic Data Analysis 1.1 (2021): 1-17.
- Raparthi, Mohan. "AI Integration in Precision Health-Advancements, Challenges, and Future Prospects." Asian Journal of Multidisciplinary Research & Review 1.1 (2020): 90-96.
- Raparthi, Mohan. "Deep Learning for Personalized Medicine-Enhancing Precision Health With AI." Journal of Science & Technology 1.1 (2020): 82-90.
- Raparthi, Mohan. "AI-Driven Decision Support Systems for Precision Medicine: Examining the Development and Implementation of AI-Driven Decision Support Systems in Precision Medicine." Journal of Artificial Intelligence Research 1.1 (2021): 11-20.
- Raparthi, Mohan. "Precision Health Informatics-Big Data and AI for Personalized Healthcare Solutions: Analyzing Their Roles in Generating Insights and Facilitating Personalized Healthcare Solutions." Human-Computer Interaction Perspectives 1.2 (2021): 1-8.
- Raparthi, Mohan. "AI Assisted Drug Discovery: Emphasizing Its Role in Accelerating Precision Medicine Initiatives and Improving Treatment Outcomes." Human-Computer Interaction Perspectives 2.2 (2022): 1-10.
- Raparthi, Mohan. "Robotic Process Automation in Healthcare-Streamlining Precision Medicine Workflows With AI." Journal of Science & Technology 1.1 (2020): 91-99.
- Raparthi, Mohan. "Harnessing Quantum Computing for Drug Discovery and Molecular Modelling in Precision Medicine: Exploring Its Applications and Implications for Precision Medicine Advancement." Advances in Deep Learning Techniques 2.1 (2022): 27-36.
- Shiwlani, Ashish, et al. "Synergies of AI and Smart Technology: Revolutionizing Cancer Medicine, Vaccine Development, and Patient Care." International Journal of Social, Humanities and Life Sciences 1.1 (2023): 10-18.
- Raparthi, Mohan. "Quantum Cryptography and Secure Health Data Transmission: Emphasizing Quantum Cryptography’s Role in Ensuring Privacy and Confidentiality in Healthcare Systems." Blockchain Technology and Distributed Systems 2.2 (2022): 1-10.
- Raparthi, Mohan. "Quantum Sensing Technologies for Biomedical Applications: Investigating the Advancements and Challenges." Journal of Computational Intelligence and Robotics 2.1 (2022): 21-32.
- Raparthi, Mohan. "Quantum-Inspired Optimization Techniques for IoT Networks: Focusing on Resource Allocation and Network Efficiency Enhancement for Improved IoT Functionality." Advances in Deep Learning Techniques 2.2 (2022): 1-9.
- Raparthi, Mohan. "Quantum-Inspired Neural Networks for Advanced AI Applications-A Scholarly Review of Quantum Computing Techniques in Neural Network Design." Journal of Computational Intelligence and Robotics 2.2 (2022): 1-8.
- Raparthi, Mohan. "Privacy-Preserving IoT Data Management with Blockchain and AI-A Scholarly Examination of Decentralized Data Ownership and Access Control Mechanisms." Internet of Things and Edge Computing Journal 1.2 (2021): 1-10.
- Raparthi, Mohan. "Real-Time AI Decision Making in IoT with Quantum Computing: Investigating & Exploring the Development and Implementation of Quantum-Supported AI Inference Systems for IoT Applications." Internet of Things and Edge Computing Journal 1.1 (2021): 18-27.
- Raparthi, Mohan. "Blockchain-Based Supply Chain Management Using Machine Learning: Analyzing Decentralized Traceability and Transparency Solutions for Optimized Supply Chain Operations." Blockchain Technology and Distributed Systems 1.2 (2021): 1-9.