Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261979 | PMC |
| http://dx.doi.org/10.1186/s12911-021-01559-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Denture care attitudes, hygiene levels and oral mucosal lesions in complete denture wearers from a single-institution cross-sectional study.
Sci Rep
January 2025
Research Assistant, Department of Prosthodontics, Faculty of Dentistry, University of Abant İzzet Baysal, Bolu, Turkey.
This study investigated denture care attitudes, dental visit habits, oral mucosal lesions, and hygiene levels in 118 complete denture users treated at a university dentistry faculty. Data on demographics, smoking, denture use duration, dentist visits, and hygiene habits were collected via a questionnaire. A specialist examined mucosal lesions and assessed denture hygiene level using the Budtz-Jorgensen and Bertram method.
View Article and Find Full Text PDFAssessment improved of cognitive impairment with artificial intelligence in the user‐web‐mobile application.
Alzheimers Dement
December 2024
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México, DF, Mexico
Background: The World Health Organization forecasts a population of 2,000 million people over 60 years by the year 2050, with 7% of this population suffering from dementia. Making a constant clinical‐technological evaluation of older adults allows early detection of the disease and provides a better quality of life for the patient. In this sense, the research and development of innovative technological systems for the early detection of the disease, its monitoring and management of the growing number of patients with cognitive diseases has increased in recent years, integrating data collection and its automatic processing based on geriatric metrics into these systems using artificial intelligence (AI) methods.
View Article and Find Full Text PDFEvaluation of the Usability of ChatGPT-4 and Google Gemini in Patient Education About Rhinosinusitis.
Clin Otolaryngol
January 2025
University of Health Sciences, Haydarpaşa Numune Research and Training Hospital, Department of Otorhinolaryngology, İstanbul, Turkey.
Introduction: Artificial intelligence (AI) based chat robots are increasingly used by users for patient education about common diseases in the health field, as in every field. This study aims to evaluate and compare patient education materials on rhinosinusitis created by two frequently used chat robots, ChatGPT-4 and Google Gemini.
Method: One hundred nine questions taken from patient information websites were divided into 4 different categories: general knowledge, diagnosis, treatment, surgery and complications, then asked to chat robots.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!