Artificial intelligence for prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal women

[1]  Kazunori Hashimoto,et al.  Artificial intelligence in gynecologic cancers: Current status and future challenges - A systematic review , 2021, Artif. Intell. Medicine.

[2]  B. Wahl,et al.  Artificial intelligence and the future of global health , 2020, The Lancet.

[3]  A. Quick,et al.  Black and Hispanic women are less likely than White women to receive guideline-concordant endometrial cancer treatment. , 2020, American journal of obstetrics and gynecology.

[4]  M. Sherman,et al.  Intercepting Endometrial Cancer: Opportunities to Expand Access Using New Technology , 2020, Cancer Prevention Research.

[5]  Hong-Kyu Kim,et al.  Endometrial thickness cut-off value by transvaginal ultrasonography for screening of endometrial pathology in premenopausal and postmenopausal women , 2019, Obstetrics & gynecology science.

[6]  A. Papalois,et al.  Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward? , 2019, In Vivo.

[7]  Gang Chen,et al.  Artificial intelligence in reproductive medicine , 2019, Reproduction.

[8]  A. Mariani,et al.  Are early screening biomarkers for endometrial cancer needed to reduce health disparities? , 2019, American journal of obstetrics and gynecology.

[9]  S. J. Henley,et al.  Uterine Cancer Incidence and Mortality — United States, 1999–2016 , 2018, MMWR. Morbidity and mortality weekly report.

[10]  D. Flum,et al.  Role of bleeding recognition and evaluation in Black‐White disparities in endometrial cancer , 2018, American journal of obstetrics and gynecology.

[11]  H. Sriplung,et al.  Trends in incidence of uterine cancer in Songkhla, Southern Thailand , 2018, Journal of gynecologic oncology.

[12]  C. Chrelias,et al.  The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women. , 2018, Public health.

[13]  A. Sobczuk,et al.  New classification system of endometrial hyperplasia WHO 2014 and its clinical implications , 2017, Przeglad menopauzalny = Menopause review.

[14]  T. Conrads,et al.  Impact of age at diagnosis on racial disparities in endometrial cancer patients. , 2017, Gynecologic oncology.

[15]  T. Hachisuga,et al.  Clinical statistics of gynecologic cancers in Japan , 2017, Journal of gynecologic oncology.

[16]  S. Mansuria,et al.  Threshold for endometrial sampling among postmenopausal patients without vaginal bleeding , 2016, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.

[17]  RENATA NICULA,et al.  Management of endometrial modifications in perimenopausal women , 2015, Clujul medical.

[18]  Luca Giannella,et al.  A Risk-Scoring Model for the Prediction of Endometrial Cancer among Symptomatic Postmenopausal Women with Endometrial Thickness > 4 mm , 2014, BioMed research international.

[19]  R. Smith-Bindman,et al.  How thick is too thick? When endometrial thickness should prompt biopsy in postmenopausal women without vaginal bleeding , 2004, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[20]  Michael J Thun,et al.  Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. , 2003, The New England journal of medicine.

[21]  B. Ottesen,et al.  Risk factors among young women with endometrial cancer: a Danish case-control study. , 2000, American journal of obstetrics and gynecology.