Explore the synergy between artificial intelligence (AI) and large language models (LLMs) in addressing global health disparities. This session highlights innovative applications of AI in radiology to support universal healthcare and sustainable development goals in low- and middle-income countries (LMICs). Additionally, the session delves into the multilingual capabilities of LLMs, examining their performance across diverse languages in medical informatics and imaging workflows. Through practical demonstrations and expert discussions, participants will uncover actionable strategies for implementing these transformative technologies to improve health outcomes worldwide.

Objectives

• Describe the impact of AI innovations in radiology for improving diagnostic accuracy and workflow efficiency in LMICs.
• Compare the performance of multilingual LLMs in medical informatics use cases across diverse languages.
• Identify strategies for implementing AI and LLM solutions to address global health disparities, including training, education, and localized development models.