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              <text>Advancements in optical steganography for secure medical data transmission in telehealth systems</text>
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              <text>Adaptive steganography techniques; Optical steganography; Quantum steganography; Secure medical data transmission; Telehealth systems</text>
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              <text>Secure medical data transfer technologies have advanced as a result of the brisk growth of telehealth services. This study provides a thorough review of the most up-to-date research on using optical steganography to conceal medical records from prying eyes. Data concealing capacity has been increased without sacrificing picture quality using new techniques that make it difficult for unauthorised parties to access hidden information. Using adaptive steganography methods, medical data may be encoded in images in a way that makes it impossible to detect or extract by prying eyes. By concealing information over many picture layers, multi-layer steganography adds an extra degree of protection from prying eyes. The development of steganographic techniques has been spurred on by the use of machine learning and artificial intelligence to enhance steganalysis and the use of quantum characteristics to offer an extra layer of security in quantum steganography. Combining this with cryptographic safeguards like encryption provides an additional layer of security. In order to successfully safeguard sensitive medical data during transmission, standardisation and compliance in optical steganography are becoming more important as telehealth systems become more widespread. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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              <text>Patange A.; Mahesan K.V.; Manjula C.; Donald C.; Babu S.; Peroumal V.; Arumugam M.</text>
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              <text>Optical and Quantum Electronics, Vol-55, No. 9</text>
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              <text>&lt;a href="https://doi.org/10.1007/s11082-023-05080-5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11082-023-05080-5&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163760985&amp;amp;doi=10.1007%2Fs11082-023-05080-5&amp;amp;partnerID=40&amp;amp;md5=dd402c2b57eabf22252c01e7d383c016" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163760985&amp;amp;doi=10.1007%2fs11082-023-05080-5&amp;amp;partnerID=40&amp;amp;md5=dd402c2b57eabf22252c01e7d383c016&lt;/a&gt;</text>
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              <text>ISSN: 3068919; CODEN: OQELD | CS; 2023-2023; Vol-1; 00077-00090</text>
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              <text>Patange A., Department of Medicine, Krishna Institute of Medical Sciences, Krishna Vishwa Vidya Peeth (Deemed University), MS, Karad, India; Mahesan K.V., Dr. Ambedkar Institute of Technology, Bangalore, India; Manjula C., Department of Mechatronics, Oxford College of Engineering, Bangalore, India; Donald C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Babu S., Department of Biochemistry, Symbiosis Medical College for Women, Symbiosis International (Deemed University), Pune, India; Peroumal V., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Arumugam M., Center for Transdisciplinary Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Chennai, India</text>
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