Silicon-slide imaging could speed cancer diagnosis with 99% agreement, no dyes needed

Scientists at King Abdullah University of Science and Technology (KAUST) have developed a new stain-free imaging platform designed to analyze tissue samples more quickly and consistently, supporting ...
News-Medical.Net

AI imaging technique detects early endometrial cancer with high accuracy

Endometrial cancer is the most common gynecologic cancer, with more than 69,000 cases diagnosed in the U.S. in 2025 and increasing up to 3% annually.
Medscape

The Growing Role of AI in Cancer Treatment

Cancer care is becoming too complex for any one clinician to track alone, making AI an increasingly valuable tool in modern ...
Medical Xpress

AI model proves to be a heavyweight in tumor assessment: Mesothelioma patients and physicians benefit

Physicians and researchers at the Netherlands Cancer Institute have developed an AI model that outperforms physicians in evaluating treatment response in pleural mesothelioma. Far more accurate than ...
Frontiers

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...
Frontiers

Automated and AI-driven analysis techniques in PET brain imaging

Positron emission tomography (PET) brain imaging is a pivotal tool in neuroscience, enabling precise visualization and ...