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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 preventative measures and enables the expansion of telemedicine, remote diagnoses, and digital data transmission (e.g., electronic health records, electronic health cards), thereby improving access to medical care. These technologies have the potential to optimize healthcare resources and relieve the burden on medical staff by automating routine tasks.

Guiding questions

  • How can the integration of AI technologies in healthcare be effectively designed while taking data protection and ethical standards into account?
  • What investments in infrastructure and personnel are required to successfully implement AI-based solutions in the healthcare sector?
  • How can regional disparities in healthcare be addressed to ensure equal access to AI-powered medical services?
  • What opportunities and risks arise with regard to 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 presents technical and ethical challenges, such as data security and privacy. Regulatory issues and the need to integrate AI into existing healthcare infrastructure also contribute to these challenges. Furthermore, regionally limited resources and differing healthcare structures could hinder the safe, widespread implementation of such technologies.

Concrete examples

  • Digital health applications (DiGA), i.e., health apps prescribed to manage 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)
Image description: Foresight – Thuringia, Blue Eye in focus

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Reference

Your contact persons

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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