Surgical Data Science and Associated Techniques Facilitate the Development of Contemporary Equipment like Apple’s Vision Pro
Vinothkumar Kolluru1, Sudeep Mungara2, Advaitha Naidu Chintakunta3, Charan Sundar Telaganeni4, Lokesh Kolluru5
1Vinothkumar Kolluru, Department of Data Science, Stevens Institute of Technology, Seattle, WA, (United States of America) USA.
2Sudeep Mungara, Stevens Institute of Technology, Philadelphia, PA, (United States of America) USA.
3Advaitha Naidu Chintakunta, Department of Computer Science, University of North Carolina at Charlotte, Seattle, WA, (United States of America) USA.
4Charan Sundar Telaganeni, Department of Computer Science, Stevens Institute of Technology, Texas, TX, (United States of America) USA.
5Lokesh Kolluru, Department of Civil Engineering, Syracuse University, Charlotte, (United States of America) USA.
Manuscript received on 21 August 2024 | Revised Manuscript received on 02 November 2024 | Manuscript Accepted on 15 November 2024 | Manuscript published on 30 November 2024 | PP: 1-9 | Volume-5 Issue-1, November 2024 | Retrieval Number: 100.1/ijpmh.D364814040924 | DOI: 10.54105/ijpmh.D3648.0501124
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Artificial Intelligence (AI) has revolutionized modern surgery by enhancing every stage of patient care, from preoperative planning to postoperative monitoring. This paper examines the impact of AI in conjunction with other technologies on surgical procedures, highlighting their empirical basis and integration into clinical practice. AI’s role in facilitating personalised treatment planning through a comprehensive analysis of patient data and imaging studies, utilising techniques such as natural language processing (NLP) to extract critical insights, reassures us of its positive impact on patient care. Realtime decision support systems powered by AI improve surgical precision, enabling surgeons to navigate complex procedures with enhanced accuracy and efficiency. Furthermore, AI-driven surgical robotics exemplifies the precision achievable with these technologies, enabling minimally invasive procedures that minimise patient trauma and expedite recovery. Integrating AI with computer vision further enhances surgical capabilities by allowing machines to interpret visual data autonomously, like human perception. Convolutional Neural Networks (CNNs) play a pivotal role in image recognition and analysis, supporting tasks ranging from identifying anatomical landmarks to planning surgical procedures. Augmented Reality (AR), when combined with AI, enriches surgical practice by overlaying digital information onto real-world views, aiding in intraoperative guidance and educational training. Devices like Apple’s Vision Pro (AVP) headset showcase the potential of mixed reality technologies in enhancing surgical precision. AVP’s integration of spatial computing and AI algorithms enables real-time data analysis and decision support, ultimately transforming surgical education and procedural outcomes. Despite the transformative potential, challenges, including ethical considerations, data privacy, and regulatory frameworks, must be addressed to ensure the responsible deployment of AI in surgical settings. These challenges include mitigating biases in AI algorithms and ensuring equitable access to advanced technologies across diverse surgical specialities. The dynamic nature of AI in surgery necessitates ongoing research and development to refine AI applications, optimise surgical workflows, and enhance patient outcomes globally. In combination with contemporary technologies, AI represents a paradigm shift in surgical practice, offering unprecedented opportunities to improve patient care through personalized, precise, and efficient interventions. AI’s ongoing evolution and integration in surgery promise to reshape the future of healthcare, advancing clinical practice and medical education toward safer, more effective, and inclusive healthcare delivery systems.
Keywords: Surgical Data Science, Artificial Intelligence, Apple Vision Pro Headset, Mixed reality, Augmented reality, Virtual reality.
Scope of the Article: Health Care Management