Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
High consistency between recommendations by a pulmonary specialist and ChatGPT for the management of a patient with non-resolving pneumonia
9
Zitationen
9
Autoren
2023
Jahr
Abstract
The use of artificial intelligence in healthcare is rapidly growing, with great potential to assist medical professionals in diagnosis and treatment of complex medical conditions. In this case report, the recommendations of a pulmonary consultation are compared to the recommendations from a large language model (LLM), ChatGPT, in regards to a case of non-resolving pneumonia. The recommendations by ChatGPT were found to be consistent with the pulmonary consultation, and no recommendations given were inappropriate. As shown in this case report, early generations of LLM such as ChatGPT were able to provide appropriate recommendations for the management of a patient with a complex medical condition.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.418 Zit.