Daniele La Forgia

ORCID: 0000-0002-3902-4523 · 3 papers in corpus
diagnostic-accuracy 2026
Large Language Models Meet Gynecologic Ultrasound: Advancing the Characterization of ADNEXal Masses
Journal of imaging ·doi:10.3390/jimaging12090462

Ovarian cancer (OC) is the second most common gynecological malignancy and remains one of the leading causes of gynecological cancer-related mortality worldwide. A major clinical challenge is the lack of an accurate and widely applicable st…

other 2023
An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy
Frontiers in oncology ·doi:10.3389/fonc.2023.1181792

INTRODUCTION: It has been estimated that 19,880 new cases of ovarian cancer had been diagnosed in 2022. Most epithelial ovarian cancer are sporadic, while in 15%-25% of cases, there is evidence of a familial or inherited component. Approxim…

review 2022
The Application of Sonovaginography for Implementing Ultrasound Assessment of Endometriosis and Other Gynaecological Diseases
Diagnostics ·doi:10.3390/diagnostics12040820

Sonovaginography is a way of assessing gynaecological diseases that can be described as cheap yet accurate and non-invasive. It consists of distention of the vagina with ultrasound gel or saline solution while performing transvaginal sonogr…