AI‐Based AR/VR Models in Biomedical Sustainable Industry 4.0
Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Rudra Pratap Ojha, Balamurugan Balusamy, E. Gangadevi · 2024
The biomedical field has witnessed significant advancements in recent years, with the emergence of technologies such as Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence (AI). This abstract explores the integration of these technologies in the sustainable Industry 4.0 framework, specifically focusing on their applications in bioprinting services. Bioprinting, an innovative technique that enables the fabrication of three-dimensional biological structures, has immense potential in various biomedical applications, including tissue engineering, regenerative medicine, and drug development. However, the complexity of bioprinting processes, coupled with the need for precision and efficiency, demands advanced tools and methodologies. The integration of AI-based algorithms in AR/VR models holds tremendous promise for enhancing bioprinting services in terms of accuracy, productivity, and sustainability. By utilizing AI, these models can analyze vast amounts of data, including patient-specific medical information, to generate optimized bioprinting patterns and strategies. AI algorithms can also facilitate real-time monitoring of the bioprinting process, enabling adaptive control and reducing errors. Furthermore, the integration of AR/VR technologies in the bioprinting workflow allows for immersive visualization and interaction with the bioprinted structures. This enhances the design and validation processes, enabling researchers and clinicians to evaluate the functionality and compatibility of the printed tissues or organs before implementation. In the context of Industry 4.0, the utilization of AI-based AR/VR models in bioprinting services can lead to sustainable advancements. By optimizing the printing process, reducing material waste, and minimizing errors, these technologies contribute to the overall sustainability of bioprinting services. Moreover, the integration of AI algorithms allows for continuous learning and improvement, enhancing the efficiency and quality of the bioprinting workflow. This abstract highlights the potential of AI-based AR/VR models in the biomedical field, specifically in the context of sustainable Industry 4.0 for bioprinting services. The fusion of these technologies can revolutionize the field of bioprinting, leading to the development of personalized and functional tissues and organs, and ultimately transforming the landscape of regenerative medicine and health care as a whole.