For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...

Researchers have developed an AI-based tool that accelerates the detection of kidney cancer. Its effectiveness was validated in a study published in Communications Medicine. Diagnosing kidney cancer ...

Cervical cancer is one of the most preventable forms of cancer. Effective screening can detect precancerous changes years before cancer develops. But more than 4,300 women will die from cervical ...

Deep learning CNN for automated cervical cancer detection using Pap smear images, with Streamlit deployment & Grad‑CAM. This project implements a deep learning Convolutional Neural Network (CNN) for ...

Objective: This study aims to develop and evaluate an artificial intelligence-based model for cervical cancer subtyping using whole-slide images (WSI), incorporating both patch-level and WSI-level ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...

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 ...