FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Clinical Practice Guidelines

Background:

• Medical innovation continuously seeks advanced diagnostic, treatment, and prevention strategies.
• Clinical practice guidelines are essential for orientating medical teams, with evidence-based approaches mirroring systematic reviews.
• Artificial intelligence (AI) offers personalized insights and improved efficiency in healthcare.

Approach:

• This work explores the application of AI, specifically large language models like ChatGPT, in healthcare.
• ChatGPT, a deep learning-based AI, can rapidly search and synthesize evidence from databases.
• The potential of AI to expedite the development of clinical practice guidelines is examined.

Key Points:

• AI-powered chatbots, such as ChatGPT, can significantly reduce the time and effort needed for evidence retrieval in medical research.
• Language models can accelerate the process of constructing comprehensive and up-to-date clinical practice guidelines.
• ChatGPT demonstrates potential in enhancing healthcare delivery through data-driven insights and support.

Conclusions:

• AI tools like ChatGPT can revolutionize healthcare by supporting clinicians and improving patient outcomes.
• While powerful, AI should be viewed as a supplementary tool to augment the capabilities of human healthcare professionals.
• The integration of AI in medicine necessitates a balanced approach, prioritizing human expertise and ethical considerations.