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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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[HIPPOCRATES AND LANGUAGE MODELS - PRIMUM NON NOCERE - FIRST, DO NO HARM].

Sharon Einav1, Or Degany2, Yehuda Shoenfeld3

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Artificial intelligence (AI) is revolutionizing medicine, impacting diagnosis, treatment, and ethics. Understanding AI principles is crucial for clinicians to harness benefits and prevent patient harm, ensuring ethical medical practice.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Bioethics

Background:

  • The principle of "First, Do No Harm" remains central to medicine.
  • Rapid advancements in artificial intelligence (AI) are transforming medical diagnosis, treatment, research, education, and ethics.
  • Clinicians need to understand AI's capabilities and limitations to ensure patient safety and ethical practice.

Purpose of the Study:

  • To bridge fundamental medical research concepts with AI development stages, including neural networks and deep learning.
  • To provide insights into the development and function of large language models (LLMs).
  • To discuss AI's impact on the patient-physician relationship and propose actionable strategies for ethical AI integration in clinical practice.

Main Methods:

  • Review of AI development principles, including neural networks and deep learning.
  • Analysis of large language models' functionality and applications.
  • Discussion of ethical considerations and proposals for AI integration in healthcare.

Main Results:

  • Familiarity with AI principles enables clinicians to critically assess AI-generated outputs, from diagnostic support to treatment plans.
  • Generative AI represents a significant advancement in AI capabilities.
  • Ethical integration requires proper model training, regulation, and active involvement of the medical community.

Conclusions:

  • Understanding AI is essential for clinicians to maximize its benefits while mitigating risks.
  • Maintaining core medical ethics (beneficence, non-maleficence, justice, autonomy) is paramount during AI adoption.
  • Collaborative development and regulation involving medical professionals will ensure AI serves patient well-being and upholds ethical standards.