Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Accuracy of Information given by ChatGPT for Patients with Inflammatory Bowel Disease in Relation to ECCO Guidelines
40
Zitationen
17
Autoren
2024
Jahr
Abstract
This is the first study to demonstrate the capability of an AI-based system to provide accurate and comprehensive answers to real-world patient queries in IBD. AI systems may serve as a useful adjunct for patients, in addition to standard of care in clinics and validated patient information resources. However, responses in specialist areas may deviate from evidence-based guidance and the replies need to give more firm advice.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.400 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.261 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.695 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 · 5.506 Zit.
Autoren
Institutionen
- Mater Dei Hospital(MT)
- Barts Health NHS Trust(GB)
- John Radcliffe Hospital(GB)
- University of Oxford(GB)
- IRCCS Ospedale San Raffaele(IT)
- University of Lisbon(PT)
- Hospital da Luz(PT)
- Hospital Beatriz Ângelo(PT)
- St Mark's Hospital(GB)
- Imperial College London(GB)
- Carlo Forlanini Hospital(IT)
- KU Leuven(BE)
- Universidade do Porto(PT)
- Centre for Health Technology and Services Research(PT)
- University of Ioannina(GR)