Digital Health: The Cybersecurity for AI-Based Healthcare Communication
The implementation of AI-based healthcare communication systems presents a significant challenge for the development of cost-effective medical environments. Despite numerous approaches introduced internationally, the field continues to grapple with real-world issues, demands, and a rising number of...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10829946/ |
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| author | Abdullah M. Algarni Vijey Thayananthan |
| author_facet | Abdullah M. Algarni Vijey Thayananthan |
| author_sort | Abdullah M. Algarni |
| collection | DOAJ |
| description | The implementation of AI-based healthcare communication systems presents a significant challenge for the development of cost-effective medical environments. Despite numerous approaches introduced internationally, the field continues to grapple with real-world issues, demands, and a rising number of unforeseen diseases stemming from vulnerabilities, such as zero-day attacks. Purpose: The healthcare system, including communication between medical devices, must evolve alongside new technologies, such as AI-based proactive devices. Future healthcare hubs (future proactive devices), which will be deployed in various remote locations, utilize their own cybersecurity solutions to ensure secure AI-based healthcare communication services. Addressing these challenges requires managing potential issues arising in current medical scenarios. For instance, sudden security issues like ransomware attacks disrupting medical activities in London hospitals in May 2024 highlight the urgency of developing effective solutions that can be applied globally. Method: The AI-based approach offers a potential solution to these problems, although its implementation in medical security management presents challenges for the healthcare profession. While cybersecurity solutions are necessary, they can be developed through various management strategies. Anticipated Results: Implementing management solutions will require updating medical systems with AI-based policies. Efficient AI algorithms, derived from advanced mathematical or scientific techniques, are essential. The effectiveness of these solutions will ultimately determine the outcomes. Conclusion: Healthcare applications should be designed to be affordable while accommodating the essential facilities for human life. |
| format | Article |
| id | doaj-art-8331835ffaf64f038aa1bbd674dbb179 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-8331835ffaf64f038aa1bbd674dbb1792025-01-14T00:02:28ZengIEEEIEEE Access2169-35362025-01-01135858587010.1109/ACCESS.2025.352666610829946Digital Health: The Cybersecurity for AI-Based Healthcare CommunicationAbdullah M. Algarni0https://orcid.org/0000-0002-7154-9821Vijey Thayananthan1Computer Science Department, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Computer Engineering, Faculty of Engineering, University of Jaffna, Jaffna, Sri LankaThe implementation of AI-based healthcare communication systems presents a significant challenge for the development of cost-effective medical environments. Despite numerous approaches introduced internationally, the field continues to grapple with real-world issues, demands, and a rising number of unforeseen diseases stemming from vulnerabilities, such as zero-day attacks. Purpose: The healthcare system, including communication between medical devices, must evolve alongside new technologies, such as AI-based proactive devices. Future healthcare hubs (future proactive devices), which will be deployed in various remote locations, utilize their own cybersecurity solutions to ensure secure AI-based healthcare communication services. Addressing these challenges requires managing potential issues arising in current medical scenarios. For instance, sudden security issues like ransomware attacks disrupting medical activities in London hospitals in May 2024 highlight the urgency of developing effective solutions that can be applied globally. Method: The AI-based approach offers a potential solution to these problems, although its implementation in medical security management presents challenges for the healthcare profession. While cybersecurity solutions are necessary, they can be developed through various management strategies. Anticipated Results: Implementing management solutions will require updating medical systems with AI-based policies. Efficient AI algorithms, derived from advanced mathematical or scientific techniques, are essential. The effectiveness of these solutions will ultimately determine the outcomes. Conclusion: Healthcare applications should be designed to be affordable while accommodating the essential facilities for human life.https://ieeexplore.ieee.org/document/10829946/AI-based healthcarecybersecuritydigital healthproactive systemransomware attacks |
| spellingShingle | Abdullah M. Algarni Vijey Thayananthan Digital Health: The Cybersecurity for AI-Based Healthcare Communication IEEE Access AI-based healthcare cybersecurity digital health proactive system ransomware attacks |
| title | Digital Health: The Cybersecurity for AI-Based Healthcare Communication |
| title_full | Digital Health: The Cybersecurity for AI-Based Healthcare Communication |
| title_fullStr | Digital Health: The Cybersecurity for AI-Based Healthcare Communication |
| title_full_unstemmed | Digital Health: The Cybersecurity for AI-Based Healthcare Communication |
| title_short | Digital Health: The Cybersecurity for AI-Based Healthcare Communication |
| title_sort | digital health the cybersecurity for ai based healthcare communication |
| topic | AI-based healthcare cybersecurity digital health proactive system ransomware attacks |
| url | https://ieeexplore.ieee.org/document/10829946/ |
| work_keys_str_mv | AT abdullahmalgarni digitalhealththecybersecurityforaibasedhealthcarecommunication AT vijeythayananthan digitalhealththecybersecurityforaibasedhealthcarecommunication |