Summary of Applications Of Generative Ai in Healthcare: Algorithmic, Ethical, Legal and Societal Considerations, by Onyekachukwu R. Okonji et al.
Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations
by Onyekachukwu R. Okonji, Kamol Yunusov, Bonnie Gordon
First submitted to arxiv on: 15 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract discusses the rapid growth of generative AI in medical imaging and text analysis, which holds great promise for improving diagnosis and personalized care. However, this technology raises critical ethical, societal, and legal questions about accuracy, informed consent, data privacy, algorithmic limitations, liability, and accountability. The paper explores these challenges and proposes solutions to ensure the responsible implementation of generative AI in healthcare. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Generative AI is a powerful technology that can help doctors diagnose patients more accurately and provide personalized care. However, it also raises important questions about ethics, privacy, and how it’s used. This paper looks at some of these challenges and suggests ways to make sure this technology is used responsibly in healthcare. |
