Can we deploy artificial intelligence (AI) models developed in other countries, e.g. China, in the Valais healthcare system? Through the Cantonal Prevention and Health Promotion Strategy, Horizon 2030, the canton of Valais aims to enhance the effectiveness of prevention and health promotion for the entire population. The initial intersectional focus in PPS2030 addresses the principle of equal opportunities, highlighting the urgent need to include all demographic groups—especially vulnerable populations—in health-related initiatives.Project VALIDATE-H will develop an evaluation framework for artificial intelligence models in healthcare (AIMH) with two main objectives: 1. Validate and monitor the clinical utility of AIMH, pre-trained with international datasets, in population-specific settings and applications relevant for the Valais healthcare system, and 2. Fine-tune these models to mitigate potential demographic biases in a fair, transparent and accountable way. The project will first select target population groups and applications for AIMH, then, using distribution metrics, fairness criteria and explainability, VALIDATE-H will match local settings to those found on international datasets and models.VALIDATE-H will allow for a continuous assessment of AIMH, monitoring and updating the knowledge regarding potential barriers that might hinder the adaptation and adoption of artificial intelligence in the Valaisan healthcare system. Our consortium is well-equipped to tackle the objectives mentioned above with complementary expertise on machine learning, computer vision and medical data processing (Idiap), together with distributed and explainable AI, and multi-agent systems (HES-SO). Finally, the expertise from our partner in the Observatoire Valaisan de la Santé (OVS), will ground the direction of the project into concrete applications for the Valais population and cantonal health systems.