Artificial intelligence in radiology: diagnostic sensitivity of ChatGPT for detecting hemorrhages in cranial computed tomography scans
These findings suggest that ChatGPT's diagnostic performance improves with guided prompts, highlighting its potential as a supportive tool in clinical radiology.
Authors
- Olga Bayar Kapıcı (ORCID: https://orcid.org/0000-0003-0863-9127)
- Erman Altunışık (ORCID: https://orcid.org/0000-0002-5996-2090)
- Ömer Kaya (ORCID: https://orcid.org/0000-0001-7998-0686)
- Shelly P. Dev (ORCID: https://orcid.org/0009-0006-9246-2748)
- Feyza Musabeyoğlu (ORCID: https://orcid.org/0009-0001-8275-4708)
Institutions
- Gaziantep Children's Hospital (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- Cukurova University (TR)
- Gaziantep University (TR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-07-21
- DOI
- https://doi.org/10.4274/dir.2025.253456
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65