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Generative artificial intelligence is becoming established as a strategic technology in the transformation of digital health, with the ability to support clinical decision-making, adapt content to the specific needs of patients and optimize clinical report management. However, its application in healthcare environments entails technological, regulatory and ethical challenges.

In this Masterclass we present a holistic view of the main applications in the field of digital health illustrated with use cases developed internally at Eurecat. Subsequently, we will address the main obstacles to its adoption and, finally, we will reflect on the ethical and privacy implications of the processing of sensitive data.

Programa

  • Main applications of generative AI in the field of digital health.
  • Eurecat use cases in LLM-based solutions in the health field.
  • Challenges in the development of generative AI in the health sector.
  • Ethics and privacy in the use of AI tools with health data.

Masterclass led by Eurecat

Taught by:

David Suñol Moreno
Advanced Researcher

Dr. David Suñol is an advanced researcher and project manager at the Digital Health unit at Eurecat. Since joining, he has actively participated in projects related to data analysis and the application of artificial intelligence techniques in the field of digital health. He is currently the coordinator of generative AI projects at the unit where solutions based on LLMs are developed for the personalization of recommender systems, the creation of healthcare chatbots and the improvement of the interaction between users and technology.

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