AIMC Topic: Language

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Biased echoes: Large language models reinforce investment biases and increase portfolio risks of private investors.

PloS one
Large language models are increasingly used by private investors seeking financial advice. The current paper examines the potential of these models to perpetuate investment biases and affect the economic security of individuals at scale. We provide a...

Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis.

Journal of medical Internet research
BACKGROUND: Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic White populations. While artificial intelligence (AI) shows promise in health care delivery, concerns exi...

Edge computing based english translation model using fuzzy semantic optimal control technique.

PloS one
People's need for English translation is gradually growing in the modern era of technological advancements, and a computer that can comprehend and interpret English is now more crucial than ever. Some issues, including ambiguity in English translatio...

Large Language Model-Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study.

Journal of medical Internet research
BACKGROUND: The revised Risk-of-Bias tool (RoB2) overcomes the limitations of its predecessor but introduces new implementation challenges. Studies demonstrate low interrater reliability and substantial time requirements for RoB2 implementation. Larg...

[Large language models in healthcare].

Nederlands tijdschrift voor geneeskunde
Large language models, AI-based models that can generate language and which are optimized for human interaction, are widely available and also offer opportunities for healthcare. Yet, they also raise important questions about their quality and ethica...

Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism.

PloS one
Improving translation quality and efficiency is one of the key challenges in the field of Natural Language Processing (NLP). This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with ...

Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study.

JMIR infodemiology
BACKGROUND: The rapid emergence of artificial intelligence-based large language models (LLMs) in 2022 has initiated extensive discussions within the academic community. While proponents highlight LLMs' potential to improve writing and analytical task...

AI-mediated translation presents two possible futures for academic publishing in a multilingual world.

PLoS biology
As the availability and performance of artificial intelligence for language editing and translation continues to improve, we can imagine a future in which everyone can use their own language to write, assess, and read science. The question is, how ca...

Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.

PloS one
This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. Employing the mixed methods researc...

Large Language Model-Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation.

Journal of medical Internet research
BACKGROUND: Surgical consent forms convey critical information; yet, their complex language can limit patient comprehension. Large language models (LLMs) can simplify complex information and improve readability, but evidence of the impact of LLM-gene...