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Area of Science:

  • Medical Ethics
  • Artificial Intelligence in Healthcare
  • Natural Language Processing

Background:

  • The Hippocratic Oath, a foundational ethical code for physicians, mandates the principle of 'First do no harm.'
  • Rapid advancements in artificial intelligence (AI) and large language models (LLMs) present new ethical challenges in medical applications.
  • Integrating AI into healthcare requires careful consideration of potential risks and benefits to patient safety.

Purpose of the Study:

  • To analyze the ethical considerations of applying large language models (LLMs) in clinical settings.
  • To evaluate how the principle of 'First do no harm' applies to AI-driven medical tools.
  • To provide a framework for the responsible development and deployment of AI in medicine.

Main Methods:

  • Literature review of medical ethics, AI development, and healthcare policy.
  • Analysis of case studies on AI implementation in medicine.
  • Ethical framework development based on established medical principles.

Main Results:

  • LLMs in medicine carry inherent risks, including diagnostic errors and data privacy breaches.
  • Adherence to the 'First do no harm' principle necessitates rigorous validation and oversight of AI tools.
  • Clear guidelines are needed for accountability and transparency in AI-assisted medical decision-making.

Conclusions:

  • The integration of large language models into healthcare must prioritize patient safety and ethical integrity.
  • Continuous ethical evaluation and regulatory frameworks are essential for the responsible use of AI in medicine.
  • Upholding the Hippocratic Oath in the age of AI requires a proactive and cautious approach.