AIMC Topic: Reading
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Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness.
Journal of pediatric ophthalmology and strabismus
Oct 28, 2024
PURPOSE: To assess the appropriateness and readability of responses provided by four large language models (LLMs) (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to parents' queries pertaining to retinopathy of prematurity (ROP).
Integrating Large Language Model, EEG, and Eye-Tracking for Word-Level Neural State Classification in Reading Comprehension.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 20, 2024
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine comprehension of semantic language meaning. This shift calls for inter...
Cracking the neural code for word recognition in convolutional neural networks.
PLoS computational biology
Sep 6, 2024
Learning to read places a strong challenge on the visual system. Years of expertise lead to a remarkable capacity to separate similar letters and encode their relative positions, thus distinguishing words such as FORM and FROM, invariantly over a lar...
Can artificial intelligence make elective hand clinic letters easier for patients to understand?
The Journal of hand surgery, European volume
Apr 20, 2024
We investigated whether ChatGPT was able to increase the Flesch reading ease and the Flesch-Kincaid reading level of elective clinic letters written by hand surgeons. ChatGPT could not reliably simplify the hand clinic letters any further.
High Throughput Read-Across for Screening a Large Inventory of Related Structures by Balancing Artificial Intelligence/Machine Learning and Human Knowledge.
Chemical research in toxicology
Jul 3, 2023
Read-across is an in silico method applied in chemical risk assessment for data-poor chemicals. The read-across outcomes for repeated-dose toxicity end points include the no-observed-adverse-effect level (NOAEL) and estimated uncertainty for a partic...
Perceptions of intelligence & sentience shape children's interactions with robot reading companions.
Scientific reports
May 5, 2023
The potential for robots to support education is being increasingly studied and rapidly realised. However, most research evaluating education robots has neglected to examine the fundamental features that make them more or less effective, given the ne...
AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CT.
Scientific reports
Mar 16, 2023
The aim of the study was to evaluate the impact of the newly developed Similar patient search (SPS) Web Service, which supports reading complex lung diseases in computed tomography (CT), on the diagnostic accuracy of residents. SPS is an image-based ...
Effect of Reading Activities on Children's Mental Health under the Environment of Artificial Intelligence and Deep Learning.
Journal of environmental and public health
Sep 25, 2022
The illustrations in picture books are lovely and emotional; pictures and text work together to express a theme and weave into one another to create a seamless and comprehensive visual image in picture books. Reading helps children improve for life a...
Intelligent Reading of English Text Based on the Generative Model Constraint Label Fusion.
Computational intelligence and neuroscience
Sep 21, 2022
The intelligent reading of English text is affected by complex environmental factors, which will result in low reading accuracy and poor reader experience. Based on the artificial intelligence model, this study constructs the artificial intelligence ...
Autonomous Reading of Gauges in Unstructured Environments.
Sensors (Basel, Switzerland)
Sep 3, 2022
This paper introduces GAUREAD, an end-to-end computer vision system that is able to autonomously read analogic gauges with circular shapes and linear scales in unstructured environments. Existing gauge reading software still relies on some manual ent...
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