Introduction Self-sampling for cervical cancer screening is a promising strategy to improve coverage and reduce strain on ...

Failing revenue cycle fix requires clinical AI that embeds medical logic to reduce rework, risk, and revenue leakage in health systems.

Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

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ABSTRACT: This study conducts a qualitative content analysis of the French magazine “Jeune Afrique”’s coverage of Ibrahim Traoré, the transitional president of Burkina Faso. Using framing theory, the ...

Abstract: Existing fMRI-to-image reconstruction methods have made progress in decoding visual images from fMRI but continue to struggle with capturing finer details like shape and color. Inspired by ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. Goicoechea et al. conducted a timely and thorough meta-analysis ...

Abstract: This article explores the presence of confirmation bias and specificity bias in three large language models (LLMs): ChatGPT, Claude, and Gemini. To investigate these biases, I adapted a test ...

The present set of five experiments assessed whether context-dependent memory effects were evident within verbal working memory. Participants completed an item-recognition verbal working memory task ...