AIMC Topic: Comprehension
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Assessment of readability, reliability, and quality of ChatGPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care.
Medicine
Aug 16, 2024
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...
Artificial intelligence-generated patient information leaflets: a comparison of contents according to British Association of Dermatologists standards.
Clinical and experimental dermatology
Jun 25, 2024
BACKGROUND: Patient information leaflets (PILs) can supplement a clinical consultation and provide additional information for a patient to read in their own time. A wide range of PILs are available for distribution by the British Association of Derma...
Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study.
Medicine
May 31, 2024
This study aimed to evaluate the readability, reliability, and quality of responses by 4 selected artificial intelligence (AI)-based large language model (LLM) chatbots to questions related to cardiopulmonary resuscitation (CPR). This was a cross-sec...
How artificial intelligence can provide information about subdural hematoma: Assessment of readability, reliability, and quality of ChatGPT, BARD, and perplexity responses.
Medicine
May 3, 2024
Subdural hematoma is defined as blood collection in the subdural space between the dura mater and arachnoid. Subdural hematoma is a condition that neurosurgeons frequently encounter and has acute, subacute and chronic forms. The incidence in adults i...
Pulmonary Embolism Education: Role of Generative Artificial Intelligence Models.
Missouri medicine
Jan 1, 2024
The growing use of generative artificial intelligence (AI) in the public sphere allows for a greater degree of disseminating information worldwide. For patients, there is a growing body of literature exploring how the generative artificial intelligen...
Evaluation of the reliability and readability of answers given by chatbots to frequently asked questions about endophthalmitis: A cross-sectional study on chatbots.
Health informatics journal
Jan 1, 2024
This study aimed to investigate the accuracy, reliability, and readability of A-Eye Consult, ChatGPT-4.0, Google Gemini and Copilot AI large language models (LLMs) in responding to patient questions about endophthalmitis. The LLMs' responses to 25 ...
Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.
Health informatics journal
Jan 1, 2023
BACKGROUND: Extraction of medical terms and their corresponding values from semi-structured and unstructured texts of medical reports can be a time-consuming and error-prone process. Methods of natural language processing (NLP) can help define an ext...
BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.
Bioinformatics (Oxford, England)
Sep 15, 2022
MOTIVATION: Biomedical machine reading comprehension (biomedical-MRC) aims to comprehend complex biomedical narratives and assist healthcare professionals in retrieving information from them. The high performance of modern neural network-based MRC sy...
Linguistic Redundancy and its Effects on Younger and Older Adults' Real-Time Comprehension and Memory.
Cognitive science
Apr 1, 2022
Redundant modifiers can facilitate referential interpretation by narrowing attention to intended referents. This is intriguing because, on traditional accounts, redundancy should impair comprehension. Little is known, however, about the effects of re...
The false hope of current approaches to explainable artificial intelligence in health care.
The Lancet. Digital health
Nov 1, 2021
The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has been argued that explainable AI will engender trust with the health-c...
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