Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods, ...

AI can be used to detect cervical cancer in women in resource-limited parts of the world. However, for this method to work, investments are needed in healthcare staff, reliable supply chains and trust ...

Introduction Cervical cancer remains a major health concern in low-resource settings, with Cambodian women experiencing some ...

Cervical cancer, one of the most preventable yet lethal malignancies among women, continues to threaten lives globally due to unequal access to quality screening and diagnosis. To close this gap, ...

User interface of the Intelligent Digital Education Tool for Colposcopy (iDECO). This figure illustrates the main user interface of iDECO, a bilingual (Chinese and English) web-based platform for ...

Clinical Characteristics of Toxicities of Immune Checkpoint Inhibitors and Their Impact on Efficacy in Solid Cancers: An Analysis of Real-World Data in Moroccan Patients We designed a point-of-care ...

In 2026, cervical cancer remains a stark reminder of global health inequity, with women in low-income countries and lower-middle-income countries (LMICs) with a disproportionate share of the disease ...