Algorithms App
Empower your clinical decisions with the ESGO algorithms app, providing evidence-based algorithms for managing gynaecological cancers.
The ESGO algorithms app provides fast, structured access to evidence-based clinical pathways for the management of gynaecological cancers.
Developed from ESGO clinical practice guidelines, the app supports clinicians in making confident, consistent decisions across a wide range of clinical scenarios - including both common and rare cancers.
- Endometrial cancer
- Vulvar cancer
- Cervical cancer
- Ovarian cancer
- Rare tumours
Key features
Case-based algorithms
Navigate patient-centred pathways tailored to real clinical scenarios, supporting personalised and evidence-based care.
Clinical decision support tools
Access interactive tools for risk stratification, adjuvant treatment decisions, and surgical management.
Designed for clinical practice
An intuitive interface enables quick navigation and rapid access to critical information at the point of care.
What clinicians say
‘The ESGO algorithms app is an essential companion for daily gynaecologic oncology practice.’
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Enora Laas, France
‘Having the ESGO recommendations easily accessible on my phone is incredibly helpful for translating the latest evidence into clinical practice.’
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Tibor Zwimpfer, Switzerland
upcoming events
ESGO 2027 Congress
ASYGO-ENYGO 2nd Joint Webinar: From Challenges to Solutions: Building Sustainable Careers for Young Gynecologic Oncologist
Miseon Kim Nakazawa, Houssein El Hajj, Jun-Hyeong Seo, Sara Nasser, Ga Won Yim, Aleksandra Strojna
Hormone replacement therapy in gynecologic cancer survivors: bridging the gap between evidence and clinical practice
Blanca Gil-Ibáñez, Ana Luzarraga Aznar
Vision and Innovation: A Tribute to Prof. Pedro T. RamÃrez
GOC-ESGO 2nd Joint Webinar: Mirvetuximab Soravtansine (MIRV) and the Growing Real-World Evidence Emerging from European Practice
Maria Kfoury, Sabrina Cecere, Yvette Drew, Aalok Kumar, Amit Oza, Annamaria Ferrero
Surgical Site Complications in Gynecologic Oncology
Malak Moubarak
