Revolution in dermatology: New AI system recognizes skin cancer faster!

Revolution in dermatology: New AI system recognizes skin cancer faster!

Mannheim, Deutschland - On June 6, 2025, a pioneering research result was presented that has the potential to significantly revolutionize the diagnosis of skin diseases. A study carried out under the direction of Monash University, the University of Queensland and the Medical University of Vienna tested the innovative AI system "Panderm" for analyzing skin diseases. The results were published in the renowned “Nature Medicine” journal and show the versatility and the reliability of the system in diagnosing skin diseases, including skin cancer.

"Panderm" is an open source model based on over two million medical sources. This extensive database enables the system to identify skin diseases with a new multimodal approach. The study examined the accuracy of "Panderm" in 28 clinical test scenarios and in three separate studies with a doctor: inside and showed that the system was superior to the specialist doctor: inside the differential diagnosis and early detection of melanoma.

diagnostic accuracy increase

A central result of the study is that non-specialized doctors: in the use of "Panderm", a 17% higher accuracy in diagnosing skin cancer achieved. This knowledge could be particularly important because around 70% of the world's population are affected by one or more of the over 3,000 known skin diseases. In addition, “Panderm” was able to identify suspicious skin changes before they are visible to the human eye.

The system was developed by an extensive ethical test procedure, which was approved by the University of Mannheim and the Heidelberg University Hospital. Strict guidelines were followed and all participants gave their consent to participate. The development of the AI ​​classifier used complex technologies such as machine learning and neuronal networks, which are optimized for the exact detection and analysis of skin anomalies.

technological progress in dermatology

artificial intelligence increasingly revolutionizes dermatology by enabling quick and precise diagnoses. Technologies such as Convolutional Neural Networks are used to recognize patterns in image data and increase diagnostic accuracy. In the context of these developments, KI is not only used to recognize melanoma but also to monitor chronic skin diseases.

Another aspect of the use of AI in dermatology is the integration of images and patient data that enable personalized treatment. Portable sensors continuously measure skin parameters and support the AI ​​in the analysis. These technologies can increase the efficiency of dermatological care and help to improve the chances of healing for patients.

In order to successfully integrate the technologies into practice, it is important for dermatologists to develop a technical understanding of AI. The long -term effects of these technologies could not only reduce the healthcare costs, but also revolutionize communication between doctors and patients.

Overall, the new study shows that "Panderm" with its impressive results could represent a promising tool for clinical application in dermatology. Further studies are planned before the system is used broadly in clinical practice. For doctors and patients, this remains a promising step towards more efficient and precise care in dermatology.

The publication of the study is entitled "A Multimodal Vision Foundation Model for Clinical Dermatology" and is under the doi 10.1038/S41591-03747-Y> available. Here you can find more information: OTS , Nature , and Zaibr .