Robots in Healthcare: Applications, Challenges, and Ethical Considerations
Abstract
The integration of robots into healthcare has witnessed a remarkable transformation in recent years. This paper provides a comprehensive examination of the multifaceted role of robots in healthcare, encompassing their diverse applications, the inherent challenges they face, and the ethical considerations that arise in this evolving landscape. We delve into the practical applications of robots in surgery, rehabilitation, telemedicine, and patient care, highlighting their potential to enhance medical outcomes. Simultaneously, we address the challenges, including safety, regulatory compliance, and technological limitations that must be surmounted for seamless adoption. Ethical considerations, such as patient privacy, trust, and the impact on healthcare professionals, are explored in-depth, underlining the importance of maintaining human-centered care in a robotic era. This paper offers a holistic perspective on the current state of robots in healthcare, laying the groundwork for future research and policy discussions.
References
Hefny, Amr, et al. "Robots in Healthcare: A Comprehensive Survey." arXiv preprint arXiv:2104.08366 (2021).
Riek, Laurel D. "Healthcare Robotics." Communications of the ACM 62.6 (2019): 68-78.
Abbott, Brian P. "The Emerging Age of Surgical Robotics." Journal of Healthcare Engineering 2.1 (2011): 23-46.
Siciliano, Bruno, and Oussama Khatib. "Springer Handbook of Robotics." Springer, 2021.
Anderson, Michael, Susan Leigh Anderson, and Ronald Arkin. "Toward ethical robots for warfighters: A framework for policy development." Ethics and Information Technology 12.3 (2010): 183-195.
Chaitanya Krishna Suryadevara, “TOWARDS PERSONALIZED HEALTHCARE - AN INTELLIGENT MEDICATION RECOMMENDATION SYSTEM”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 9, p. 16, Dec. 2020.
Suryadevara, Chaitanya Krishna, Predictive Modeling for Student Performance: Harnessing Machine Learning to Forecast Academic Marks (December 22, 2018). International Journal of Research in Engineering and Applied Sciences (IJREAS), Vol. 8 Issue 12, December-2018, Available at SSRN: https://ssrn.com/abstract=4591990
Suryadevara, Chaitanya Krishna, Unveiling Urban Mobility Patterns: A Comprehensive Analysis of Uber (December 21, 2019). International Journal of Engineering, Science and Mathematics, Vol. 8 Issue 12, December 2019, Available at SSRN: https://ssrn.com/abstract=4591998
Chaitanya Krishna Suryadevara. (2019). A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES. International Journal of Innovations in Engineering Research and Technology, 6(12), 38–48. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3654
Chaitanya Krishna Suryadevara. (2020). GENERATING FREE IMAGES WITH OPENAI’S GENERATIVE MODELS. International Journal of Innovations in Engineering Research and Technology, 7(3), 49–56. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3653
Chaitanya Krishna Suryadevara. (2020). REAL-TIME FACE MASK DETECTION WITH COMPUTER VISION AND DEEP LEARNING: English. International Journal of Innovations in Engineering Research and Technology, 7(12), 254–259. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3184
Chaitanya Krishna Suryadevara. (2021). ENHANCING SAFETY: FACE MASK DETECTION USING COMPUTER VISION AND DEEP LEARNING. International Journal of Innovations in Engineering Research and Technology, 8(08), 224–229. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3672