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Page 1
An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators.
Fanizzi A, Arezzo F, Cormio G, Comes MC, Cazzato G, Boldrini L, Bove S, Bollino M, Kardhashi A, Silvestris E, Quarto P, Mongelli M, Naglieri E, Signorile R, Loizzi V, Massafra R. Fanizzi A, et al. Among authors: kardhashi a. Cancer Med. 2024 Jun;13(12):e7425. doi: 10.1002/cam4.7425. Cancer Med. 2024. PMID: 38923847 Free PMC article.
An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy.
Comes MC, Arezzo F, Cormio G, Bove S, Calabrese A, Fanizzi A, Kardhashi A, La Forgia D, Legge F, Romagno I, Loizzi V, Massafra R. Comes MC, et al. Among authors: kardhashi a. Front Oncol. 2023 Jul 13;13:1181792. doi: 10.3389/fonc.2023.1181792. eCollection 2023. Front Oncol. 2023. PMID: 37519818 Free PMC article.
Machine learning applied to MRI evaluation for the detection of lymph node metastasis in patients with locally advanced cervical cancer treated with neoadjuvant chemotherapy.
Arezzo F, Cormio G, Mongelli M, Cazzato G, Silvestris E, Kardhashi A, Cazzolla A, Lombardi C, Venerito V, Loizzi V. Arezzo F, et al. Among authors: kardhashi a. Arch Gynecol Obstet. 2023 Jun;307(6):1911-1919. doi: 10.1007/s00404-022-06824-6. Epub 2022 Nov 12. Arch Gynecol Obstet. 2023. PMID: 36370209
Characteristics and outcome of BRCA mutated epithelial ovarian cancer patients in Italy: A retrospective multicenter study (MITO 21).
Artioli G, Giannone G, Valabrega G, Maggiorotto F, Genta S, Pignata S, Lorusso D, Cormio G, Scalone S, Nicoletto MO, Greco F, Rossi E, Spagnoletti I, De Giorgi U, Orditura M, Mosconi AM, Kardhashi A, Bogliolo S, Borgato L. Artioli G, et al. Among authors: kardhashi a. Gynecol Oncol. 2021 Jun;161(3):755-761. doi: 10.1016/j.ygyno.2021.04.014. Epub 2021 Apr 20. Gynecol Oncol. 2021. PMID: 33888336 Free article.
18 results