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Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector

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Abstract

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.

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All data are provided with in the paper.

Abbreviations

AI:

Artificial intelligence

ML:

Machine learning

DL:

Data learning

HIV:

Human immunodeficiency syndrome

SARS:

Severe acute respiratory syndrome

NHS:

National Health Service

FDA:

Food and Drug Administration

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Acknowledgements

The authors would like to thanks Health @ InnoHK (Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Shatin, Hong Kong, SAR China, Mälardalen University Sweden, and Mehran University of Engineering and Technology Jamshoro, Pakistan, for providing conductive work environment in documentation of the data.

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Authors and Affiliations

  1. Hong Kong Centre for Cerebro-Caradiovasular Health Engineering (COCHE), Shatin, Hong Kong

    Bangul khan

  2. Riphah International University, Lahore, Pakistan

    Bangul khan, Jawad Hussain & Saad Abdullah

  3. Mehran University of Engineering and Technology, Jamshoro, Pakistan

    Hajira Fatima, Ayatullah Qureshi & Abdul Hanan

  4. NED University, Karachi, Pakistan

    Sanjay Kumar

  5. Mälardalen University, Västerås, Sweden

    Saad Abdullah

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  1. Bangul khan
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khan, B., Fatima, H., Qureshi, A. et al. Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector. Biomedical Materials & Devices 1, 731–738 (2023). https://doi.org/10.1007/s44174-023-00063-2

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