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A Case for Caution: Patient Use of Artificial Intelligence.
Lisa Stewart1, Wesley G Patterson2, Christopher Farrell
1Clemson University.
Clinical Journal of Oncology Nursing
|June 3, 2024
Summary
Artificial intelligence (AI) use in healthcare is growing rapidly. Patients must be cautious of AI chatbots due to potential errors and incomplete medical information.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Patient Decision-Making
Background:
- Exponential increase in artificial intelligence (AI) adoption across various sectors.
- Growing trend of patients utilizing AI tools for medical decision-making.
- Inherent limitations and potential inaccuracies of current AI chatbots in healthcare.
Purpose of the Study:
- To evaluate the risks associated with patient use of AI chatbots for medical information.
- To highlight the need for critical assessment of AI-generated medical advice.
- To inform patients and healthcare providers about the limitations of AI in medical decision-making.
Main Methods:
- Review of current AI chatbot capabilities and limitations in the medical domain.
- Analysis of potential sources of erroneous or incomplete information from AI.
- Assessment of patient engagement with AI for health-related queries.
Main Results:
- AI chatbots may provide inaccurate or incomplete medical information.
- Over-reliance on AI can lead to flawed medical decisions.
- Current AI technology is not a substitute for professional medical advice.
Conclusions:
- Patients must exercise caution when using AI for medical decision-making.
- Verification of AI-generated health information with healthcare professionals is crucial.
- Further development is needed to ensure the safety and reliability of AI in patient care.
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