Mapping the Evolution of Artificial Intelligence in Medical Materials.

Area of Science:

• Medical Materials Science
• Artificial Intelligence
• Bibliometrics

Background:

• Artificial intelligence (AI) applications in medical materials, including composition, design, and manufacturing, are expanding.
• A comprehensive overview of the research landscape in AI for medical materials is lacking.

Purpose of the Study:

• To conduct a bibliometric analysis of AI in medical materials research.
• To identify trends, key challenges, and future research directions in this interdisciplinary field.

Main Methods:

• Bibliometric analysis of 108 publications.
• Data sourced from the Web of Science Core Collection database.
• Analysis of publication trends and research challenges.

Main Results:

• Research in AI for medical materials spans nearly two decades.
• A significant increase in publications since 2018, likely fueled by deep learning.
• Identified challenges: clinical validation, de novo design, and precise manufacturing.

Conclusions:

• The field of AI in medical materials is dynamic and rapidly evolving.
• Deep learning advancements are a probable driver for recent research growth.
• Addressing challenges in validation, design, and manufacturing is crucial for future AI-enabled medical materials development.