A new study says common human typing errors can trip up artificial intelligence (AI) programs designed to aid health care ...

The core finding of the study is that LLMs used for patient-facing medical applications are heavily influenced by alterations in input text that are unrelated to clinical data. The researchers applied ...

A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the ...

Ricoh USA, Inc. has taken a significant step in advancing personalized healthcare with the formation of Ricoh 3D for ...

For easy evaluation and fair comparison on 2D medical image segmentation method, we aim to collect and build a medical image segmentation U-shape architecture benchmark to implement the medical 2d ...

A divided region. Guyana ‘s foreign minister, Hugh Todd, told The Associated Press on Friday that the government plans to amend its payment and recruitment system involving Cuban medical ...

Brain injury survivors help shape new medical technologies. 6 June 2025 Researchers based at Cambridge University Hospitals NHS Foundation Trust (CUH) have developed a programme to ensure that the ...

Test-time adaptation (TTA) has emerged as a promising paradigm to handle the domain shifts at test time for medical images from different institutions without using extra training data. However, ...

Image segmentation is, in general, an ill-posed problem and additional constraints need to be imposed in order to achieve the desired segmentation result. While segmenting organs in medical images, ...

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