Co-intelligence: a proposal for human-artificial intelligence collaboration for large language models in medical...

Area of Science:

• Medical Research
• Artificial Intelligence
• Human-Computer Interaction

Background:

• Large language models (LLMs) present significant opportunities for advancing medical research.
• Existing applications often position LLMs as either replacements for or aids to human researchers.
• A novel approach is needed to fully harness LLM potential in science.

Purpose of the Study:

• To introduce and advocate for the concept of co-intelligence in medical research.
• To explore the synergistic collaboration between human researchers and LLMs.
• To provide insights for maximizing LLM utility while ensuring research rigor.

Main Methods:

• Conceptual viewpoint and theoretical discussion.
• Analysis of human-LLM collaboration dynamics.
• Identification of key considerations and potential challenges.

Main Results:

• Co-intelligence offers a framework for complementary human-AI collaboration.
• Leveraging combined strengths can accelerate scientific advancement.
• Potential unintended consequences and limitations are identified.

Conclusions:

• Co-intelligence represents a promising paradigm for the future of medical research.
• Integrating LLMs through co-intelligence enhances research capabilities.
• Actionable insights are provided for researchers and clinicians to adopt this collaborative model responsibly.