Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

How doctors could soon use AI to detect brain tumors - Artificial intelligence models are getting better at pinpointing brain tumors – and they’re using a surprising technique ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

A new liquid biopsy approach developed by Johns Hopkins Kimmel Cancer Center investigators could revolutionize brain cancer detection by identifying circulating DNA fragments from tumors and ...

A novel, multi-analyte test developed by researchers at the Johns Hopkins Kimmel Cancer Center, its Ludwig Center and the ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer.

A novel tool for rapidly identifying the genetic "fingerprints" of cancer cells may enable future surgeons to more accurately remove brain tumors while a patient is in the operating room, new ...