Ethical Incorporation of Artificial Intelligence into Neurosurgery: A Generative Pretrained Transformer Chatbot-Based, Human-Modified Approach
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View abstract on PubMed
Summary
This summary is machine-generated.Artificial intelligence (AI) integration in neurosurgery requires careful ethical consideration. This study outlines key ethical issues and proposes a framework to guide AI
Area Of Science
- Neurosurgery
- Artificial Intelligence
- Medical Ethics
Background
- The increasing use of artificial intelligence (AI) in neurosurgery raises underexplored ethical concerns.
- Generative pretrained transformers (GPTs) are of particular interest in this domain.
- A structured approach is needed to address the ethical implications of AI in neurosurgery.
Purpose Of The Study
- To delineate key ethical considerations for AI in neurosurgery.
- To synthesize common ethical concerns using a novel GPT-based, human-modified approach.
- To present a comprehensive ethical framework for AI integration in neurosurgery.
Main Methods
- Multiple GPT models (GPT-4, ChatGPT, Bing Chat/Copilot, You, Perplexity.ai, Google Bard) were queried on ethical AI incorporation in neurosurgery.
- A layered GPT-based thematic analysis was performed on the outputs.
- Pareto analyses (20% and 10% thresholds) were used to identify salient themes, which were then refined.
Main Results
- Twelve key ethical considerations were identified, categorized into stakeholders, clinical implementation, and governance.
- Refined Pareto analysis yielded 10 salient themes from the top 20% of GPT outputs.
- Five key considerations emerged from the top 10% most salient themes, informing the developed ethical framework.
Conclusions
- Addressing ethical considerations is critical for AI in neurosurgery.
- The proposed ethical framework can facilitate AI integration, benefiting patients and neurosurgeons.
- Neurosurgeons should use AI for validated purposes and critically interpret its outputs, avoiding automatic adoption.
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