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You searched for: Author/Creator Broadhead, Tim

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1. 2022-RA-1657-ESGO The potential role of human factors in the prediction of surgical effort in advanced-stage epithelial ovarian cancer patients; a study using explainable artificial intelligence. (20th October 2022)

2. 2022-RA-1675-ESGO Development of an intra-operative disease score to predict complete cytoreduction in advanced-stage ovarian cancer by using artificial intelligence. (20th October 2022)

3. 330 Complete surgical cytoreduction remains pivotal in achieving better survival outcomes in patients with advanced ovarian cancer with a BRCA1/2 germline mutation in the pre-parp inhibitor ERA. (4th December 2020)

4. 331 Testing prediction accuracy of hdu admission following high grade serous advanced ovarian cancer cytoreductive surgery using machine learning methods. (4th December 2020)

5. Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning. (1st October 2021)

6. Quality of life from cytoreductive surgery in advanced ovarian cancer: Investigating the association between disease burden and surgical complexity in the international, prospective, SOCQER‐2 cohort study. (10th January 2022)