Annual Guidance Established for Artificial Intelligence by German Medical Professionals
AI in Medical Practice Set to Become Mainstream
The future of medical practice in Germany is set to incorporate the use of Artificial Intelligence (AI), with the 129th German Medical Assembly advocating for its responsible integration. According to Dr. Klaus Reinhardt, President of the German Medical Association (BÄK), AI, once considered science fiction, is now transitioning into medical practice. However, the assembly emphasized the importance of addressing concerns regarding data security, transparency, and medical responsibility.
Prof. Dr. Aldo Faisal, a digital health researcher, highlighted the potential benefits of AI in healthcare during a keynote speech at the assembly. Studies show that AI can identify high-risk patients and prevent deaths, as underscored by Faisal, who said, "Data saves lives."
While AI implementation is in its early stages, Prof. Dr. Ulrike Attenberger, head of the Clinic for Radiology and Nuclear Medicine at the Medical University of Vienna/University Hospital AKH Vienna, pointed out that the success of AI in medical diagnoses relies on the qualifications of the users. Experienced doctors can correct the AI's suggestions, allowing the systems to learn effectively.
Both patient trust and data protection are paramount concerns. The assembly resolved that AI should only be used when it is evaluated and validated, considering data protection and maintaining medical confidentiality. Dr. Peter Bobbert, co-chair of the BÄK's digitalization committee, stressed the urgent need for professional and political decisions to adapt to the fast-paced development of AI. He advocated for European independence and sovereignty in AI development to avoid relying on international tech giants.
The BÄK has already formulated the medical requirements for a digitalized future in the position paper "Artificial Intelligence in Healthcare Provision" and the statement "Artificial Intelligence in Medicine." These documents served as the basis for discussions during the assembly.
The assembly's resolutions on AI can be found on their official website.
Privacy and confidentiality, explainability, transparency in AI development, human oversight, and accountability are crucial aspects of AI integration in medical practice. Adhering to data protection regulations, building trust through explainable AI models, and maintaining human oversight in AI-assisted medical decisions are essential steps towards a responsible AI future in healthcare.
[Sources: German Medical Association, 28 May 2025]
- The integration of artificial intelligence (AI) in the educational sector could be the next frontier, as AI has demonstrated remarkable potential in various fields, similar to its transition into medical practice.
- As AI continues to permeate numerous sectors, including healthcare and potentially education, it's crucial to prioritize the development of transparent, explainable AI models to build trust and ensure responsible use.
