Tag: Artificial Intelligence

Three leading US transportation research institutes have launched a national consortium to help public agencies evaluate, deploy and govern artificial ...

A head-to-head comparison of two automated PGMI-based tools on the same DBT screening images found only 48.2 percent exact agreement ...

The open-source MOOSE framework has released version 5.0, adding Kokkos-based GPU acceleration, new hybridized discontinuous Galerkin discretizations, a shifted boundary ...

A new open-access study reports an AI and IoT-based system that classifies college spoken English performance with 95.47 percent accuracy ...

A survey of 520 university teachers across 12 Chinese institutions found self-reported digital competence highest in routine operational tasks and ...

A review of three decades of artificial intelligence in prostate cancer demonstrates that while technical performance has advanced significantly, definitive ...

A narrative review of studies published between January 2021 and September 2026 synthesizes multimodal deep learning approaches for breast cancer ...

A study of the Ibanda Health Zone in the Democratic Republic of Congo found no institutionally implemented clinical AI system, ...

A critical review finds that foundation models are transforming diabetes AI across retinal imaging, glucose monitoring, and clinical text, yet ...

A domain-specialized reasoning model called Impression-R1 matched or outperformed general-purpose AI and participating radiologists on radiological impression generation across 11,884 ...

A systematic review of 64 studies finds that only about one in five AI prediction models built on electronic health ...

The European Spallation Source is developing a strategy and pilot projects to apply artificial intelligence and machine learning across its ...

A new review argues that combining electrospun nanofiber mats with quality by design principles and artificial intelligence could overcome the ...

A systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...

A hybrid deep learning framework that combines ant colony optimization with a spatio-temporal variational autoencoder recognized nine opera teaching postures ...

An AI-guided framework identified a readily synthesizable self-assembled monolayer that delivers 27.2% efficiency and retains over 95% of initial efficiency ...

A Japanese pilot study found that AI-edited images of green spaces, modified according to a new psychological evaluation framework, received ...

An AI-based digital pathology assessment of PD-L1 identified metastatic triple-negative breast cancer patients with longer progression-free survival on pembrolizumab in ...

Deep learning models trained on pre-procedural ultrasound videos predicted the success of transcatheter mitral valve edge-to-edge repair with an AUC ...

The new open-access journal Biomedical Materials Science has launched with an editorial outlining its mission to connect biomaterials innovation with ...