Affiliation:
1. IIMT University, India
Abstract
The healthcare industry is undergoing a profound transformation driven by the integration of medical robotics and AI leading to remarkable advancements in diagnosis and treatment. However, as the industry embraces these high-tech innovations, it faces a burgeoning challenge in ensuring the security of medical information throughout its lifecycle. This chapter provides an in-depth analysis of the security challenges in storing and exchanging medical data within this rapidly evolving healthcare landscape, with a specific focus on the emerging role of AI-assisted diagnostics and medical robotics. The utilization of AI in diagnostic procedures offers unprecedented precision and speed, but it also raises significant security concerns. Threats to patient data, confidential records, and the functionality of AI systems have intensified, demanding a robust security framework. This chapter explores the vulnerabilities associated with AI-assisted diagnostics and discusses the potential consequences of security breaches, which may extend to misdiagnoses and harmful interference in robotic surgeries.
Cited by
2 articles.
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