AI revolution in medicine: savior or threat to jobs?

AI revolution in medicine: savior or threat to jobs?

at the Medicine and Health capital Congress, which deals with the possibilities of artificial intelligence (AI) in medicine on June 25, 2025, Karl Max Einhäupl is optimistic about the future of this technology. [RBB24] reports that Einhäupl has believed in the transformative power of AI for many years and emphasizes that progress progresses faster than expected. The application of AI has found its way into various medical disciplines, including radiology, dermatology and pathology, as well as in the analysis of medical data such as electrocardiograms and Eegs.

Einhäupl indicates that many medical results are now generated by AI, often without the knowledge of the user. While he has a high degree of trust in professional AI applications, he warns of unvalidated tools like Chatgpt. The risks of AI use in medicine are complex: Einhäupl estimates that up to 50% of the jobs in radiology and pathology could be at risk. In addition, Ki could one day make more precise diagnoses than a person who addresses control over AI systems.

advantages and challenges of AI in radiology

like the Ärzteblatt notes, especially in radiology as a lot Application field viewed, since image processing and text generation are among the core competencies. Over 700 AI-based software products are already approved in radiology. Nevertheless, the actual use of these technologies is still low. Inviation challenges such as inadequate financing and the need for prospective validation make implementation difficult.

There are also regulatory requirements that complain the use of AI in radiology. Despite these challenges, there is a potential to increase patient safety and to support medical therapy decisions. AI is seen as an aid that doctors not replaced, but supports them in their decisions.

The future of medicine with Ki

Digitization leads to large amounts of data that are crucial for medical research and patient care. Fraunhofer IKS explains that data networking enables processes to monitor processes and dismay diseases at an early stage. AI can quickly analyze large amounts of data and is therefore a key term in future medicine.

Intelligent applications in medicine not only include clinical decision -making and robot -based surgery, but also medical image processing. Over the next five years, Einhäupl forecast a significant change in hospital and outpatient medicine. Political measures to regulate and control AI are necessary to keep Germany competitive on the international field of AI development.