Cautionary Considerations for The Role of Artificial Intelligence in Healthcare
Artificial Intelligence (AI) has the potential to revolutionize healthcare by making it more accessible and adaptive. The use of AI technologies, including large language model tools (LLMs), offers exciting possibilities for improving health outcomes and supporting healthcare professionals, patients...
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| Format: | Article |
| Language: | English |
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Eurasian Society of Family Medicine
2023-09-01
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| Series: | Eurasian Journal of Family Medicine |
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| Online Access: | https://ejfm.trakya.edu.tr/userfiles/2023/September/9-haider.pdf |
| Summary: | Artificial Intelligence (AI) has the potential to revolutionize healthcare by making it more accessible and adaptive. The use of AI technologies, including large language model tools (LLMs), offers exciting possibilities for improving health outcomes and supporting healthcare professionals, patients, researchers, and scientists. However, it is crucial to approach the integration of AI in healthcare with caution, taking into consideration the lessons learned and potential risks highlighted by experts.
One of the key considerations raised in the field of AI in healthcare is the potential for biased data used to train AI systems. Biased data can lead to the generation of misleading or inaccurate health information, exacerbating existing disparities and hindering equitable access to care. To mitigate this, it is important to ensure that AI systems are trained on diverse and representative datasets, reducing biases and promoting inclusiveness and equity |
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| ISSN: | 2147-3161 2147-3404 |