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, ...

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 ...

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 ...

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

Spanish researchers have created a powerful new open-source tool that helps uncover the hidden genetic networks driving ...

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

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