The use of artificial intelligence (AI) is increasingly revolutionizing the medical field, including in the practice of registered doctors. AI-supported technologies offer versatile applications that can improve both diagnostic accuracy and treatment efficiency. One notable example is AI-assisted colonoscopy.
AI-assisted colonoscopy
Colonoscopy is an important procedure for the early detection of bowel cancer and other bowel diseases. Traditionally, the success of this procedure depends heavily on the experience of the doctor. AI-supported colonoscopy systems use machine learning and image processing to identify polyps and other abnormalities in real time. Studies show that these systems can significantly increase the detection rate of polyps.
Further applications of AI
In addition to colonoscopy, there are numerous other applications of AI in the private practice sector:
- Diagnostic support: AI algorithms can analyze large amounts of medical data and help to make complex diagnoses. Examples include the detection of skin cancer by analyzing skin images or the prediction of cardiovascular diseases based on patient data.
- Personalized treatment: AI can analyze individual patient profiles and create personalized treatment plans based on the patient's specific needs and genetic characteristics.
- Administrative tasks: Automation of administrative tasks such as appointment scheduling, billing and patient management through AI-based systems relieves the burden on medical staff and allows doctors to focus more on patient care.
Previous use and limitations
Despite the promising possibilities, few doctors are still working with AI-supported systems. The technology is still at an early stage of implementation, and there are both technical and organizational hurdles to overcome. It is important to emphasize that AI cannot (yet) replace the doctor. Rather, it serves as a valuable tool that supports doctors and enables them to make more precise and faster decisions. Human expertise and judgment remain indispensable.
