AI for Humans and Health

Healthcare systems worldwide face growing challenges from aging populations, chronic disease management, and workforce shortages. The WHO estimates a global deficit of 18 million healthcare workers by 2030, while healthcare costs consume an increasing share of GDP across developed nations. Meanwhile, advances in AI and computational methods present unprecedented opportunities to transform medical diagnosis, treatment planning, and healthcare delivery. The medical imaging market alone is projected to exceed $50 billion by 2027, with AI-enabled solutions increasingly central to clinical workflows and decision support systems.

In our group we strive to understand and create transformative AI-driven approaches that directly impact human lives with a particular focus on health and well-being. We leverage interdisciplinary expertise in AI, machine learning, natural language processing, and human-computer interaction, working closely with partners in healthcare, psychology, and other relevant disciplines. Our research examines how AI can facilitate human decision making, communication, and collaboration, and how people and machines can work together to address complex challenges in health and well-being.