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Drawbacks of artificial intelligence and their potential solutions in the healthcare sector.
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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.Graphical abstract
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Metadata
- Authors
- khan, B., Fatima, H., Qureshi, A., Kumar, S., Hanan, A., Hussain, J., & Abdullah, S.
- Affiliations
- Riphah International University (PK)
- Mehran University of Engineering and Technology (PK)
- NED University of Engineering and Technology (PK)
- Corresponding author
- khan, Bangul
- Venue
- Biomedical Materials & Devices
- Published
- 2023-02-08
- Volume
- 1
- Issue
- 2
- Pages
- 731-738
- ISSN
- 2731-4812 (ISSN-L)
- 2731-4820
- PMC
- PMC9908503
- OpenAlex
- W4319454440
- Cited by
- 461
- References
- 51
- Citations by year
- 2026: 64 · 2025: 166 · 2024: 185 · 2023: 46
- FWCI
- 5.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biomedical Materials & Devices (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Engineering and Technology, Lahore
- Mälardalens högskola
- Mehran University of Engineering and Technology
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- artificial intelligence in healthcare, data security, privacy, health records, data breaches, ethical use of AI, machine learning ethics, medical records confidentiality
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