AI as a health revolution: The future of medicine begins now!

AI as a health revolution: The future of medicine begins now!

Tanja Schultz, Professor of Cognitive Systems in the Department of Mathematics and Computer Science, is part of an international research team that published an important article in “The Lancet Infectious Diseases”. This renowned journal is known for its in-depth research on infectious diseases. The article is the first part of a three-part series dealing with artificial intelligence (AI) and its application in healthcare. University of Bremen reports, that the article describes the potential changes that AI can bring to healthcare. Particular emphasis is placed on the possibility of detecting disease outbreaks earlier and better modeling disease progression. This means that public health measures can be planned and implemented in a more targeted manner.

Research on AI has also produced promising approaches in drug development. AI can help discover new active ingredients and identify existing drugs for new applications. This could significantly reduce development time and costs. However, the article also addresses various challenges, such as fragmentation and difficult-to-compare data, as well as the need for clinical validation of many AI models. Data protection and regulation are also key issues that are addressed in this context.

Artificial intelligence and healthcare

Artificial intelligence has now established itself as a transformative force in healthcare. Loud EUHealth AI helps optimize resource allocation by predicting patient admissions. Additionally, automation through AI streamlines administrative tasks such as patient scheduling, ultimately leading to cost reductions. Examples such as the early detection of sepsis in intensive care units show that AI can make diagnostics significantly more precise.

This is particularly relevant at a time when digital health applications are increasing. For example, the “Mika” app enables cancer patients to receive information about their disease and receive personalized support. Another application is “Diafyt,” which helps type 1 diabetes patients determine their insulin needs by taking individual activity and vital data into account. These types of patient-facing AI technologies demonstrate how AI is being implemented in healthcare.

Challenges and future prospects

However, developments in the field of AI also bring challenges. Medical effectiveness plays a crucial role, particularly in the approval of AI-based medical products, followed by reliability and data protection. Loud Fraunhofer ISI It is important to adapt the existing regulatory framework to promote AI innovations. The EU is also working on a health data space that is intended to simplify the exchange of health data.

The new Product Liability Directive and the AI ​​Regulation, which will come into force on August 1, 2024, will also represent important steps in the joint development and use of AI in healthcare. These initiatives aim to overcome challenges and efficiently leverage the benefits of AI so that this technology can transform healthcare across the board.

Looking ahead, it will be crucial to promote dialogue between engineers, health professionals and politicians. International collaboration on AI in healthcare, especially with organizations like the WHO, will become even more important to develop the best solutions for patients worldwide.