On the Use of Generative AI in Clinical Prediction - A European Perspective

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare

Background:

• Artificial Intelligence (AI) is established in medicine.
• Generative AI advances accelerate experimentation and adoption in clinical prediction.
• Smart, AI-driven systems are increasingly used for predicting therapy outcomes.

Purpose of the Study:

• Provide an overview of AI in clinical prediction.
• Detail prevalent challenges and AI technologies in use, including certified medical products.
• Review research on generative AI for near-term market release and patient benefit.

Main Methods:

• Overview of the field of AI in clinical prediction.
• Analysis of AI technologies and certified medical products.
• Review of research focusing on generative AI solutions.
• Examination of regulatory and standardization aspects in Europe.

Main Results:

• Generative AI significantly accelerates medical experimentation and adoption for clinical prediction.
• Details provided on current AI technologies, certified products, and promising approaches.
• Research highlights innovative generative AI systems with potential for market release.
• Positive patient and medical professional outcomes are proposed.

Conclusions:

• AI, particularly generative AI, offers significant potential for improving clinical prediction and patient outcomes.
• Market readiness and innovation are key considerations for AI-driven medical products.
• Regulatory and standardization frameworks are crucial for the adoption of AI-based medical products in Europe.