AI-Driven Innovations for Secure and Efficient Medical Consultations

Abstract

The escalating demand for accessible and efficient healthcare, coupled with advancements in artificial intelligence (AI), motivates a paradigm shift in medical consultations. This research introduces the Hayat Medical Consultation System, aiming to revolutionize communication and data management in healthcare. By integrating AI-driven solutions, the system addresses longstanding challenges, including secure medical image watermarking and accurate speaker diarization. This paper reviews existing literature on medical image watermarking and speaker diarization techniques, proposing an integrated solution that balances security, quality preservation, and robustness. The Hayat System’s approach encompasses secure image watermarking, advanced speaker diarization, AI-driven speech summarization, and a custom-built chatbot assistant. Tested on various aspects such as efficiency and security, the system effectively summarizes consultation descriptions using AI-based ChatGPT, allowing doctors to review and align summaries with diagnoses. Additionally, the system successfully encrypts data using RC4 and embeds it into medical images, addressing critical challenges in data transfer, integrity, and the secure management of patient records across different healthcare facilities.

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