As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Researchers have developed an AI-based tool that accelerates the detection of kidney cancer. Its effectiveness was validated ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...

A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...

The ability of Raman spectroscopy to identify molecular-level spectral fingerprints has made it an attractive route to diagnostic information and identification of early-stage tumors, especially in ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

A new AI-powered tool is helping doctors find kidney cancer faster and more accurately. Researchers from the University of ...

Researchers at the University of Tartu Institute of Computer Science, Junior Research Fellow of Artificial Intelligence ...