Rethinking Early Detection: How RACOON-MARDER Aims to Spot Liver Cancer Sooner
Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By…
Categories: AI
Structured Reporting and AI in Radiology: Efficiency and Quality in Prostate Diagnostics
How are structured reporting and artificial intelligence transforming radiology practice?
Prof. Dr. Thorsten Persigehl from University Hospital…
Structured Reporting and Artificial Intelligence in Prostate Diagnostics: An Interview with Prof. Dr. Thorsten Persigehl
What does radiology look like when structured reporting meets artificial intelligence? A look into the daily practice of Prof. Dr. Thorsten Persigehl…
Lung Cancer Screening in Germany – A Turning Point for Early Detection
Few topics are currently as impactful in radiology as lung cancer screening. From 2026, Germany is expected to roll out a nationwide program, marking…
Systems on FHIR: Driving Healthcare Innovation Through Interoperability
Interoperability is revolutionizing healthcare by enabling the seamless exchange of patient data across systems. This efficient data flow is critical…
Human-AI Collaboration in Prostate Cancer Diagnosis
As prostate cancer diagnosis becomes increasingly complex, the collaboration between human expertise and artificial intelligence (AI) is emerging as a…
Insights into the BZKF BORN-Project – Interview with Dr. Mandy Wahlbuhl-Becker
The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting.
…
RACOON-RESCUE is Advancing Pediatric Non-Hodgkin Lymphoma Care
Pediatric Non-Hodgkin Lymphoma (NHL) is the fourth most common tumor in children and adolescents, yet its radiological methods lack standardization,…
Project RACOON-RESCUE: Advancing Diagnosis and Treatment for Pediatric Non-Hodgkin Lymphoma
Pediatric Non-Hodgkin Lymphoma (NHL), a type of lymph node cancer, is the fourth most common tumor in children and adolescents. Radiological…