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eHealth: AI for predicting, diagnosing, treating, and preventing diseases

Published: November 2025

AI is increasingly being used to analyze patient data to predict diseases, support diagnoses, and develop individualized treatment plans. It can also monitor health data to suggest preventive measures and enables the expansion of telemedicine, remote diagnostics, and digital data transmission (e.g., electronic patient records, electronic health cards), thereby improving access to medical care. These technologies have the potential to optimize healthcare resources and relieve medical staff by automating routine tasks.

Guiding questions

  • How can the integration of AI technologies in healthcare be effectively designed, taking into account data protection and ethical standards?
  • What investments in infrastructure and personnel are required to successfully implement AI-based solutions in the healthcare sector?
  • How can regional differences in healthcare provision be balanced to ensure equal access to AI-supported medical services?
  • What opportunities and risks arise regarding data protection and the ethical acceptance of AI-supported diagnoses and treatments in Thuringia?
Image description: The future of healthcare is AI, depicted through futuristic graphics and digital technologies.

Challenges

The application of AI in healthcare brings technical and ethical challenges, for example regarding data security and data protection. In addition, there are regulatory issues and the need to integrate the use of AI into the existing healthcare infrastructure. At the same time, regionally limited resources and different care structures could make the safe, widespread introduction of such technologies more difficult.

Concrete examples

  • Digital Health Applications (DiGA), i.e., health apps by prescription for managing chronic diseases (e.g., endometriosis app)
  • AI systems that analyze medical image data such as X-rays or MRI scans
  • Medical consultation via video call (telemedicine)
Bildbeschreibung / description: Foresight – Thuringia, Blue Eye in Focus

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Reference

Michel Reichardt

Michel Reichardt Project Manager Strategic Foresight

Christoph Grollman

Christoph Grollman Project Manager Strategic Foresight

Dr. Sophia Gänßle

Dr. Sophia Gänßle Project Manager Data Science Strategic Foresight

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