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Published in 2025 at "PsyCh Journal"
DOI: 10.1002/pchj.70010
Abstract: Language changes are among the earliest indicators of cognitive decline in aging. Perplexity, a linguistic measure derived from information theory that quantifies speech predictability, has emerged as a potential marker for detecting early cognitive changes.…
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Keywords:
cognitive aging;
perplexity;
correlates perplexity;
structural cerebral ... See more keywords
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Published in 2024 at "Medicine"
DOI: 10.1097/md.0000000000039305
Abstract: There is no study that comprehensively evaluates data on the readability and quality of “palliative care” information provided by artificial intelligence (AI) chatbots ChatGPT®, Bard®, Gemini®, Copilot®, Perplexity®. Our study is an observational and cross-sectional…
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Keywords:
quality;
gemini;
perplexity;
readability ... See more keywords
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Published in 2025 at "Medicine"
DOI: 10.1097/md.0000000000041780
Abstract: It is clear that artificial intelligence-based chatbots will be popular applications in the field of healthcare in the near future. It is known that more than 30% of the world’s population suffers from chronic pain…
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Keywords:
quality;
artificial intelligence;
perplexity;
readability ... See more keywords
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Published in 2019 at "Qualitative Social Work"
DOI: 10.1177/1473325017710086
Abstract: Social work pioneer Jane Addams wrote of her experiences living and working with immigrant populations at the Hull-House in Chicago. In her writings, she describes a state of perplexity in which her personal and professional…
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Keywords:
work;
uncertainty;
social work;
perplexity ... See more keywords
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Published in 2022 at "BMC Bioinformatics"
DOI: 10.1186/s12859-021-04547-0
Abstract: Background Sequencing technologies are prone to errors, making error correction (EC) necessary for downstream applications. EC tools need to be manually configured for optimal performance. We find that the optimal parameters (e.g., k -mer size)…
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Keywords:
perplexity;
reference;
mer;
correction ... See more keywords
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Published in 2025 at "Acta Orthopaedica et Traumatologica Turcica"
DOI: 10.5152/j.aott.2025.25428
Abstract: Objective: This study aimed to comparatively evaluate the clinical knowledge generation performance of 3 widely used large language model (LLM)-based chatbots (ChatGPT, Claude, and Perplexity) in the context of septic arthritis. Methods: This cross-sectional comparative…
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Keywords:
based chatbots;
claude perplexity;
perplexity;
language ... See more keywords