This research provides a comprehensive analysis of the AI-Science integration landscape through large-scale literature review, identifying key gaps and opportunities.

• Reveals disconnect between AI and science communities limiting potential scientific breakthroughs
• Challenges traditional qualitative approaches by analyzing broader AI4Science literature
• Identifies specific opportunities for cross-disciplinary collaboration
• Maps the evolution of AI applications across scientific domains

For medical applications, this research highlights pathways to accelerate integration of AI methods into clinical research, potentially enabling faster discovery and improved diagnostic capabilities through deeper interdisciplinary collaboration.

Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science