AIMC Topic: Comprehension
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Talking technology: exploring chatbots as a tool for cataract patient education.
Clinical & experimental optometry
Jan 9, 2024
CLINICAL RELEVANCE: Worldwide, millions suffer from cataracts, which impair vision and quality of life. Cataract education improves outcomes, satisfaction, and treatment adherence. Lack of health literacy, language and cultural barriers, personal pre...
The Quality of CLP-Related Information for Patients Provided by ChatGPT.
The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
Dec 21, 2023
ObjectiveTo assess the quality, reliability, readability, and similarity of the data that a recently created NLP-based artificial intelligence model ChatGPT 4 provides to users in Cleft Lip and Palate (CLP)-related information.DesignIn the evaluation...
A comparison of cover letters written by ChatGPT-4 or humans.
Danish medical journal
Nov 23, 2023
INTRODUCTION: Artificial intelligence has started to become a part of scientific studies and may help researchers with a wide range of tasks. However, no scientific studies have been published on its ussefulness in writing cover letters for scientifi...
Application of Artificial Intelligence to Patient-Targeted Health Information on Kidney Stone Disease.
Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation
Oct 13, 2023
OBJECTIVE: The American Medical Association recommends health information to be written at a 6th grade level reading level. Our aim was to determine whether Artificial Intelligence can outperform the existing health information on kidney stone preven...
BPPV Information on Google Versus AI (ChatGPT).
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Aug 25, 2023
OBJECTIVE: To quantitatively compare online patient education materials found using traditional search engines (Google) versus conversational Artificial Intelligence (AI) models (ChatGPT) for benign paroxysmal positional vertigo (BPPV).
Large language models encode clinical knowledge.
Nature
Jul 12, 2023
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to a...
Deep learning classification of reading disability with regional brain volume features.
NeuroImage
Apr 11, 2023
Developmental reading disability is a prevalent and often enduring problem with varied mechanisms that contribute to its phenotypic heterogeneity. This mechanistic and phenotypic variation, as well as relatively modest sample sizes, may have limited ...
Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans.
Scientific reports
Mar 28, 2023
Modern large language models generate texts that are virtually indistinguishable from those written by humans and achieve near-human performance in comprehension and reasoning tests. Yet, their complexity makes it difficult to explain and predict the...
Explaining neural activity in human listeners with deep learning via natural language processing of narrative text.
Scientific reports
Oct 25, 2022
Deep learning (DL) approaches may also inform the analysis of human brain activity. Here, a state-of-art DL tool for natural language processing, the Generative Pre-trained Transformer version 2 (GPT-2), is shown to generate meaningful neural encodin...
Domain-specific and domain-general neural network engagement during human-robot interactions.
The European journal of neuroscience
Sep 27, 2022
To what extent do domain-general and domain-specific neural network engagement generalize across interactions with human and artificial agents? In this exploratory study, we analysed a publicly available functional MRI (fMRI) data set (n = 22) to pro...
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