Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Evaluation of Case Drafts Published in Peer Reviewed Indexed Journals Using the ‘CaRe Checklist Assistant’ — A ChatGPT Module
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Case reports are recognized as fundamental unit of academic communication in healthcare research, providing detailed documentation of unique patient presentations, clinical courses, and unusual outcomes. To address consistency in reporting, CaRe checklist was introduced, however, adherence to these guidelines in published drafts remains variable. This study evaluates the performance of a ChatGPT module, “CaRe Checklist Assistant,” in assessing published case-based drafts against the CaRe checklist. An observational study design was employed using purposive sampling of 50 case-based drafts (31 case reports, 17 clinical images, one case series, and one pictorial essay. Results demonstrated strong compliance, clinical images and pictorial essays exhibited limited alignment with checklist. Case series also showed partial adherence. Findings highlight value of AI-enabled tools in improving reporting quality and pressing need for abridged, format-specific checklists for clinical images and pictorial essays.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.402 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.270 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.702 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.507 Zit.