AIMC Topic: Narration
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Empathy Toward Artificial Intelligence Versus Human Experiences and the Role of Transparency in Mental Health and Social Support Chatbot Design: Comparative Study.
JMIR mental health
Sep 25, 2024
BACKGROUND: Empathy is a driving force in our connection to others, our mental well-being, and resilience to challenges. With the rise of generative artificial intelligence (AI) systems, mental health chatbots, and AI social support companions, it is...
Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing.
PloS one
Sep 19, 2024
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mortality, especially in regions lacking robust medical infrastructure. In this study, we propose a comprehensive approach to extract mortality causes a...
Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modeling.
PloS one
Sep 6, 2024
Narratives posted on the internet by patients contain a vast amount of information about various concerns. This study aimed to extract multiple concerns from interviews with breast cancer patients using the natural language processing (NLP) model bid...
Utilizing natural language processing to analyze student narrative reflections for medical curriculum improvement.
Medical teacher
Aug 20, 2024
MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improve the student's learning experience to better prepare them for patient care. Many programs utilize end-of-year evaluations, but these frequently have ...
A pre-trained language model for emergency department intervention prediction using routine physiological data and clinical narratives.
International journal of medical informatics
Aug 3, 2024
INTRODUCTION: The urgency and complexity of emergency room (ER) settings require precise and swift decision-making processes for patient care. Ensuring the timely execution of critical examinations and interventions is vital for reducing diagnostic e...
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish.
BMC medical informatics and decision making
Jul 24, 2024
Despite the high creation cost, annotated corpora are indispensable for robust natural language processing systems. In the clinical field, in addition to annotating medical entities, corpus creators must also remove personally identifiable informatio...
Visual narratives in nursing education: A generative artificial intelligence approach.
Nurse education in practice
Jul 20, 2024
AIM: The aim of this paper is to investigate the incorporation of visual narratives, such as comics and graphics, into nursing education using Generative Artificial Intelligence (GAI) models like DALL-E.
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits.
Journal of biomedical informatics
May 19, 2024
The increasing prevalence of overcrowding in Emergency Departments (EDs) threatens the effective delivery of urgent healthcare. Mitigation strategies include the deployment of monitoring systems capable of tracking and managing patient disposition to...
Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost.
Accident; analysis and prevention
May 13, 2024
Safety is one of the most essential considerations when evaluating the performance of autonomous vehicles (AVs). Real-world AV data, including trajectory, detection, and crash data, are becoming increasingly popular as they provide possibilities for ...
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.
Journal of biomedical informatics
Apr 14, 2024
OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different dise...
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