paradigma de modelo de inteligência artificial
Artificial intelligence (AI) is transforming cancer care, and one of its most promising applications is medical imaging. The Foundation Models for Pan-cancer Segmentation in CT Images Challenge brings
Apple mostra i nuovi strumenti AI per sviluppatori in una sessione WWDC26 di 90 minuti Apple ha pubblicato una sessione WWDC26 di 90 minuti, registrata dal vivo in uno Steve Jobs Theater gremito, inte
An MRI method may work well in a controlled study, for example by identifying the scan type, checking whether an image was acquired correctly, or correcting a distorted image. An important question is
IBM’s most expansive model release to date covers new language, vision, speech, embedding, and guardian models — tailored for enterprise workloads.
Our recent research paper published in Nature Partner Journals describes the development of an AI model trained on large-scale MRI scans and radiology reports.1 This research explores how a single mod
Co-designed by IBM, the UKAEA, and STFC Hartree Centre, the model could help to advance nuclear fusion as an alternative to fossil fuels.
Magnetic Resonance Imaging is a critical imaging modality in clinical diagnosis and research, yet its complexity and heterogeneity hinder scalable, generalizable machine learning. Although foundation
Imagine a future where breast cancer screening tools may potentially be developed on top of a single, mammography-trained vision backbone, reducing the need to start from scratch for every new compute
