Diagnosis and Prognosis of Gynecological Diseases: Advances and Challenges

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 13

Special Issue Editors


E-Mail Website
Guest Editor
Department of Medical and Surgical Sciences, Institute of Obstetrics and Gynaecology, University of Foggia, 71122 Foggia, Italy
Interests: obstetrics and gynecology; gynecological endoscopy

E-Mail Website
Guest Editor Assistant
Department of Medical and Surgical Sciences, Institute of Obstetrics and Gynaecology, University of Foggia, 71122 Foggia, Italy
Interests: obstetrics and gynecology; pregnancy

Special Issue Information

Dear Colleagues,

Gynecological diseases, including ovarian, cervical, and endometrial cancers, and benign conditions such as endometriosis and fibroids, pose significant challenges to women's health around the world. This Special Issue highlights the latest advancements in the diagnosis and prognosis of these diseases, focusing on innovative technologies such as molecular biomarkers, advanced imaging techniques, and artificial intelligence (AI)-driven tools. These breakthroughs have improved early detection, personalized treatment planning, and prognostic accuracy. However, challenges such as the heterogeneity of diseases, limited access to advanced diagnostics in underserved regions, and the need for non-invasive methods remain critical areas of focus. By promoting cutting-edge research and clinical applications, this Special Issue aims to bridge the gap between scientific innovation and practical healthcare solutions, ultimately improving outcomes for patients with gynecological diseases.

Prof. Dr. Stefano Bettocchi
Guest Editor

Dr. Stefania Carlucci
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • gynecological diseases
  • hysteroscopy
  • diagnostic technologies
  • prognostic evaluation
  • biomarkers
  • imaging techniques
  • artificial intelligence

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Published Papers

This special issue is now open for submission.
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