Ramona Woitek presented research on artificial intelligence in medical imaging and imaging-based surveillance after endometrial cancer treatment.
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AI in Gynaecological Imaging
Univ.-Prof. Priv.-Doz. Dr. med. Ramona Woitek, PhD, Professor of Radiology and Head of the Research Center for Medical Image Analysis & Artificial Intelligence (MIAAI) at Danube Private University (DPU), contributed an invited lecture and a scientific poster presentation to this year’s congress of the European Society of Urogenital Radiology (ESUR) in Paris.
In her lecture, “AI for Research in Gynaecologic Imaging: Imaging Biomarkers, Radiomics & Clinical Trial Design”, she explored the opportunities and challenges of translating AI research into clinical practice. Despite thousands of publications on AI-based imaging biomarkers, only a few have reached routine clinical use. Standardisation, biological validation and robust study design are essential to bridge this gap. Emerging technologies such as foundation models and agentic AI could accelerate this process, including through the DPU-coordinated research project IMPACT-OC.
International Study on Endometrial Cancer Surveillance
In her scientific poster presentation, Ramona Woitek presented an international study she led, entitled “International Survey of Imaging-Based Surveillance After Curative Treatment of Endometrial Cancer”. The study investigated imaging-based follow-up after curative treatment for endometrial cancer.
The survey of 53 specialists from 21 countries revealed that four out of five respondents reported regular CT examinations at their institutions – often including patients at low risk of recurrence. The findings highlight differences between clinical recommendations and everyday practice, underlining the need for more consistent, risk-adapted follow-up strategies.
The DPU researchers involved in the study were Ramona Woitek, Palak Handa and Laura Villazan Garcia. The international project was supported by ESUR, ESOI and SAR.
