Background Accurate identification of ovarian cancer (OC) is of paramount importance in
clinical treatment success. Artificial intelligence (AI) is a potentially reliable assistant for the …

Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a
narrative review - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …

Simple Summary In the era of personalized medicine, Artificial Intelligence (AI) has emerged
as a powerful tool with growing applications in the field of gynaecologic oncology. However …

High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed
molecular studies have revealed marked intra-patient heterogeneity at the tumour …

Accurately estimating the prices of houses is important for various stakeholders including
house owners, real estate agencies, government agencies, and policy-makers. Towards this …

(1) The degree of cytoreduction achieved during primary debulking surgery (PDS) is an
important prognostic factor for the survival of patients with epithelial ovarian cancer (EOC) …

Simple Summary The current scoring systems fail to reflect the patient's real anatomy, as
seen by the surgeon upon cytoreduction for advanced-stage epithelial ovarian cancer …

Dynamic data (including environmental, traffic, and sensor data) were recently recognized
as an important part of Open Government Data (OGD). Although these data are of vital …

The present study extracts human-understandable insights from machine learning (ML)-
based mesoscale closure in fluid-particle flows via several novel data-driven analysis …

(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness
of short-term care. Artificial Intelligence (AI) technologies could help monitor hospital stays …