AIMC Topic: Comprehension
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Utilization of Artificial Intelligence in the Creation of Patient Information on Laryngology Topics.
The Laryngoscope
Nov 6, 2024
OBJECTIVE: To evaluate and compare the readability and quality of patient information generated by Chat-Generative Pre-Trained Transformer-3.5 (ChatGPT) and the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) using validated instru...
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2024
In the realm of artificial intelligence, simultaneous multi-task learning is crucial, particularly for dense scene understanding. To address this, we introduce HirMTL, a novel hierarchical multi-task learning framework designed to enhance dense scene...
Enhancing patient understanding in obstetrics: the role of generative AI in simplifying informed consent for labor induction with oxytocin.
Journal of perinatal medicine
Oct 30, 2024
Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where procedures like labor induction carry significant risks and require clear patient understanding. Despite legal mandates for patient materials to be access...
Assessment of Artificial Intelligence Chatbot Responses to Common Patient Questions on Bone Sarcoma.
Journal of surgical oncology
Oct 29, 2024
BACKGROUND AND OBJECTIVES: The potential impacts of artificial intelligence (AI) chatbots on care for patients with bone sarcoma is poorly understood. Elucidating potential risks and benefits would allow surgeons to define appropriate roles for these...
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).
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension.
Journal of biomedical informatics
Oct 25, 2024
OBJECTIVE: Although deep learning techniques have shown significant achievements, they frequently depend on extensive amounts of hand-labeled data and tend to perform inadequately in few-shot scenarios. The objective of this study is to devise a stra...
Accuracy of natural language processors for patients seeking inguinal hernia information.
Surgical endoscopy
Oct 23, 2024
BACKGROUND: NLPs such as ChatGPT are novel sources of online healthcare information that are readily accessible and integrated into internet search tools. The accuracy of NLP-generated responses to health information questions is unknown.
Development and Validation of an Artificial Intelligence-Assisted Patient Education Material for Ostomy Patients: A Methodological Study.
Journal of advanced nursing
Oct 18, 2024
AIM: To develop and test the validity of an artificial intelligence-assisted patient education material for ostomy patients.
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...
Assessing the Quality and Readability of Online Patient Information: ENT UK Patient Information e-Leaflets versus Responses by a Generative Artificial Intelligence.
Facial plastic surgery : FPS
Sep 11, 2024
BACKGROUND:  The evolution of artificial intelligence has introduced new ways to disseminate health information, including natural language processing models like ChatGPT. However, the quality and readability of such digitally generated information r...
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