DOI: 10.36347/sjet.2023.v11i12.003

Pages: 334-340

The study focuses AI-based malware detection in connected medical devices. The paper investigates how such vulnerabilities in medical devices that are connected to one another can be reduced through AI-powered malware detection. It examines literature with the technical gaps, ethical issues, and third-party case studies to prove the effectiveness of AI. The study examines the trends in breach using the secondary qualitative and quantitative information and how AI can be used to prevent threats in real-time and adaptively. The results indicate that the number of EMR breaches was over 200 in 2019, whereas IoMT device exposure is on the rise. The research paper finishes by giving recommendations on how to include AI securely and ethically in the healthcare IT infrastructures.