Transforming healthcare with artificial intelligence: an integrated approach to patent analysis and strategic commercialization

Abstract

This paper examines how artificial intelligence (AI) is reshaping healthcare innovation, with a focus on patent trends before and after COVID-19. Key areas include diagnostics, clinical applications, telehealth, and public health surveillance. While diagnostic tools remained central, the pandemic accelerated adoption of telehealth and AI in public health. Post-COVID, hybrid healthcare models and ethical AI governance have gained prominence. The study also highlights the use of large language models like ChatGPT in patent analysis and introduces a new LangGraph-based software architecture to optimize multi-agent AI workflows. Findings offer strategic insights for policymakers, investors, and healthcare leaders navigating AI’s future impact.