Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...

A social network analysis (SNA) of text-message communication among nursing home care teams identified three different communication models and determined that an understanding of these models can ...

H2O.ai, a provider of open-source AI platforms, announced today two new vision-language models designed to improve document analysis and optical character recognition (OCR) tasks. The models, named ...

Current approaches to accurately identify immune-related adverse events (irAEs) in large retrospective studies are limited. Large language models (LLMs) offer a potential solution to this challenge, ...

Foundation models are transforming financial engineering, with specialized financial foundation models emerging to tackle ...

In today’s chaotic world, professional intelligence analysts must contend with nearly endless data streams, which risk overwhelming them while also exacerbating the impact of cognitive biases. Is AI ...