Artificial intelligence in the fight against skin cancer: the future of diagnoses!

Artificial intelligence in the fight against skin cancer: the future of diagnoses!

The early detection of skin cancer plays a crucial role in medical care. With the progress technological developments, especially in the area of ​​artificial intelligence (AI), skin changes can be diagnosed more and more efficiently. Prof. Dr. Hjalmar Kurzen, a leading dermatologist and professor at the Technical University of Munich, emphasizes how KI can help identify malignant skin changes such as melanomas at an early stage.

In dermatology, the use of AI-based systems is now widespread. These technologies analyze skin images and help to distinguish between malignant and benign changes. Thanks to mechanical learning and especially the deep learning, the systems are able to recognize complex patterns that are difficult to grasp for the human eye. This allows you to make diagnoses that in many cases are in no way inferior to the experienced dermatologists.

A central point is the use of the ABCDE rule-a proven method for detecting skin cancer, which takes parameters such as asymmetry, limitation, color, diameter, diameter and vertebral. AI systems can automatically apply this rule and thus support diagnostics. Prof. Kurzen emphasizes: "The AI-based dermatoscopy uses special cameras to take up high-resolution images of skin lesions. These images are then analyzed by the AI, which submits recommendations for assessment."

Another advantage of AI use is the high speed with which these systems can analyze skin images. By using thousands of images for training, you achieve a remarkable sensitivity and specificity, which is often comparable to that of experienced dermatologists. However, this also leads to considering the quality of the training data. Prof. Kurz warns that inaccurate or non -representative data can lead to incorrect diagnoses.

Despite the progress in the AI, the role of experienced dermatologist remains essential. The experience and clinical judgment of a doctor are still necessary to carry out a comprehensive patient assessment. Various companies already offer advanced systems that promise diagnostic security. However, technical analysis cannot replace personal contact and expertise from a doctor.

In addition to the simplicity of the application in the practices, the continuous improvement of the AI ​​systems enables new data to optimize diagnostic tools. Nevertheless, it should be noted that prevention and timely consultation of a dermatologist are of crucial importance. The technology offers valuable support, but does not replace the necessary medical expertise.

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Medical advice online and the use of AI in dermatology are promising trends that could continue to gain importance in the future of healthcare. The combination of human expertise and technological support will pave the way for improved patient care.