Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring the Potential of ChatGPT in Identifying Drug-Drug Interactions in Dermatology.
0
Zitationen
4
Autoren
2025
Jahr
Abstract
The findings highlight the potential of ChatGPT to serve as an effective and efficient alternative for identifying and understanding DDIs in dermatology, despite one noted error that emphasizes the need for ongoing verification against trusted references. Further research is needed to validate its use across a broader range of medications and clinical scenarios.
Ähnliche Arbeiten
BIOEDIT: A USER-FRIENDLY BIOLOGICAL SEQUENCE ALIGNMENT EDITOR AND ANALYSIS PROGRAM FOR WINDOWS 95/98/ NT
1999 · 38.712 Zit.
EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2016 update
2017 · 5.753 Zit.
Final Version of 2009 AJCC Melanoma Staging and Classification
2009 · 4.546 Zit.
The price of innovation: new estimates of drug development costs
2003 · 4.273 Zit.
A rapid method for the isolation of functional thymus‐derived murine lymphocytes
1973 · 4.166 Zit.