AI in healthcare has transformative potential, but it also raises ethical and regulatory challenges. The WHO has published guidelines on the governance of AI, with a focus on large-scale multimodal models (LMMs). These systems can revolutionize medical diagnosis, scientific research and drug development, but it is essential to guarantee data security, transparency of algorithms and equity of access.

Artificial Intelligence (AI) is transforming the healthcare sector, presenting itself as an essential tool for achieving global equity, improving operational efficiency, and driving innovation in healthcare. According to the World Economic Forum report, The Future of AI-Enabled Health: Leading the Way, the adoption of AI solutions requires addressing challenges related to fragmented governance, lack of strategic alignment, and the need for effective public-private partnerships. This document also highlights six key transitions to ensure that AI reaches its full potential in the digital transformation of healthcare, promoting a smarter and healthier future.