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Drawbacks of Artifi...
Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector
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- Khan, Bangul (författare)
- Hong Kong Centre for Cerebro-Caradiovasular Health Engineering (COCHE), Shatin, Hong Kong
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- Fatima, Hajira (författare)
- Riphah International University, Lahore, Pakistan
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- Qureshi, Ayatullah (författare)
- Riphah International University, Lahore, Pakistan
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- Kumar, Sanjay (författare)
- NED University, Karachi, Pakistan
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- Hanan, Abdul (författare)
- Mehran University of Engineering and Technology, Jamshoro, Pakistan
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- Hussain, Jawad (författare)
- Riphah International University, Lahore, Pakistan
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- Abdullah, Saad (författare)
- Mälardalens universitet,Inbyggda system
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(creator_code:org_t)
- 2023-02-08
- 2023
- Engelska.
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Ingår i: Biomedical Materials & Devices. - : Springer Science and Business Media LLC. - 2731-4812 .- 2731-4820.
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- Artificial intelligence (AI) has the potential to make substantial progress toward the goal of making healthcare more personalized, predictive, preventative, and interactive. We believe AI will continue its present path and ultimately become a mature and effective tool for the healthcare sector. Besides this AI-based systems raise concerns regarding data security and privacy. Because health records are important and vulnerable, hackers often target them during data breaches. The absence of standard guidelines for the moral use of AI and ML in healthcare has only served to worsen the situation. There is debate about how far artificial intelligence (AI) may be utilized ethically in healthcare settings since there are no universal guidelines for its use. Therefore, maintaining the confidentiality of medical records is crucial. This study enlightens the possible drawbacks of AI in the implementation of healthcare sector and their solutions to overcome these situations.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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