Cristina López-Riolobos
Research Subjects
Cristina López-Riolobos has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Araceli Abad Fernández
Department of Pulmonology, Getafe University Hospital (Madrid) Spain, 28905 Getafe, Spain
1 shared publication - Beatriz Raboso Moreno
Servicio de Neumología, Hospital Universitario de Getafe, Madrid, Spain
1 shared publication - Cristina Vaduva
Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, Spain
1 shared publication - Fernando Garcia-Prieto
Hospital Universitario de Getafe, Autovía Madrid-Toledo Km 12.5, 28095 Getafe, Madrid, Spain
1 shared publication - Indira Astudillo Rodríguez
Department of Neurophysiology, Getafe University Hospital (Madrid) Spain, 28905 Getafe, Spain
1 shared publication - José María Diaz García
Department of Pulmonology, Getafe University Hospital (Madrid) Spain, 28905 Getafe, Spain
1 shared publication
Latest Publications
- Open Access
- 4 March 2025
- Published by MDPI AG in Journal of Respiration
- Vol. 5 (1) , 3
Evaluation of the Applicability of ChatGPT in Patient Education on Obstructive Sleep Apnea
ChatGPT (Chat-Generative Pre-trained Transformer) is an accessible and innovative tool for obtaining healthcare information. This study evaluates the quality and reliability of information provided by ChatGPT 4.0® regarding Obstructive Sleep Apnea (OSA), comparing it with responses from sleep medicine specialists. Thirty frequently asked questions about OSA were posed to ChatGPT 4.0® and two expert physicians. Responses from both sources (V1: AI and V2: Medical Experts) were blindly evaluated by a panel of six specialists using a five-point Likert scale across precision, relevance, and depth dimensions. The AI-generated responses (V1) achieved a slightly higher overall score compared to those from medical experts (V2), although the difference was not statistically significant (p > 0.08). These results suggest that both sources offer comparable quality and content. Additionally, ChatGPT’s responses were clear and easily understandable, providing an accessible explanation of OSA pathology.
- 4 March 2025
- Published by MDPI AG in Journal of Respiration
- Vol. 5 (1) , 3
Open AccessEvaluation of the Applicability of ChatGPT in Patient Education on Obstructive Sleep Apnea
ChatGPT (Chat-Generative Pre-trained Transformer) is an accessible and innovative tool for obtaining healthcare information. This study evaluates the quality and reliability of information provided by ChatGPT 4.0® regarding Obstructive Sleep Apnea (OSA), comparing it with responses from sleep medicine specialists. Thirty frequently asked questions about OSA were posed to ChatGPT 4.0® and two expert physicians. Responses from both sources (V1: AI and V2: Medical Experts) were blindly evaluated by a panel of six specialists using a five-point Likert scale across precision, relevance, and depth dimensions. The AI-generated responses (V1) achieved a slightly higher overall score compared to those from medical experts (V2), although the difference was not statistically significant (p > 0.08). These results suggest that both sources offer comparable quality and content. Additionally, ChatGPT’s responses were clear and easily understandable, providing an accessible explanation of OSA pathology.