Revolution in endoscopy: AI improves cancer detection and therapy!

Revolution in endoscopy: AI improves cancer detection and therapy!

Alanna Ebigbo, an aspiring gastroenterologist, has held the professorship in internal medicine since February 20, 2025. On February 12th, he also took over the management of internal medicine at St. Josef Hospital. Ebigbo aims to use endoscopy not only for diagnostic but also for therapeutic purposes. This could result in fundamental changes in the treatment of cancer, as modern technologies enable endoscopic and gentle therapy. This allows partial preservation of the affected organ, which is a significant advantage for many patients.

In recent years, Ebigbo has conducted intensive research into the use of artificial intelligence (AI) in endoscopy. He has proven that the diagnosis of cancer is becoming much more precise through the current use of AI. These innovative approaches could improve not only the diagnostic steps but also the therapeutic measures that can be taken afterwards.

Advances in tissue analysis

At the same time, Prof. Dr.'s team is conducting research. Jürgen Popp, scientific director of the Leibniz-IPHT, is working on a novel technology for tissue analysis. This technology uses a multimodal approach that combines different optical imaging methods to analyze the chemical and structural properties of tissue in real time. The images are evaluated by AI, which processes quick and precise information. This is intended to enable surgeons to make informed decisions during procedures.

A fascinating aspect of this technology is the ability to precisely remove tumor tissue using an integrated femtosecond laser without damaging healthy tissue. The principle of “detect and treat” aims to increase the safety of operations and improve the chances of recovery for patients. In preclinical testing, the technology demonstrated a remarkable 96% detection accuracy and could help reduce the need for follow-up surgeries.

Artificial intelligence and automation in endoscopy

Artificial intelligence has become significantly more important in gastroenterology through deep learning technologies. Several AI systems are already available that enable the automated and independent detection of colorectal polyps. Initial studies show that the use of such systems significantly increases the detection of adenomas during colonoscopies.

In addition, some AI systems allow not only detection but also prediction of the histology of polyps and assessment of deep infiltration of neoplasms in the upper and lower gastrointestinal tract. These developments indicate that AI could fundamentally influence therapeutic action in gastroenterology and significantly improve patient outcomes.

Ebigbo's extensive training and active role in research collaborations, including with institutions in Jena, Ulm, Rome, North Carolina, Tokyo and São Paulo, are in line with these technological advances. He also made a name for himself as senior medical director of endoscopy at the Augsburg University Hospital, where he also led a working group on the integration of AI in endoscopy.

In summary, the developments in endoscopy and the application of artificial intelligence are not only technological milestones, but could also sustainably improve the quality of life of patients. Ebigbo's commitment and the work of his colleagues in this area show that the future of gastroenterology looks bright.