The Diagnostic Performance of Large Language Models and General Radiologists in Thoracic Radiology Cases

Claude 3 Opus outperformed other LLMs and radiologists in text-based thoracic radiology cases. LLMs hold great promise for clinical decision systems under proper medical supervision.

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Publication Details

Journal
Journal of Thoracic Imaging
Published
2024-09-13
DOI
https://doi.org/10.1097/rti.0000000000000805
Citations
11
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.32
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article

The Diagnostic Performance of Large Language Models and General Radiologists in Thoracic Radiology Cases

Turay Cesur, Yasin Celal Güneş
11 citations
Journal of Thoracic Imaging
Artificial Intelligence in Healthcare and Education
1.32
article

The Diagnostic Performance of Large Language Models and General Radiologists in Thoracic Radiology Cases

Turay Cesur, Yasin Celal Güneş
article en
11 citations

Abstract

Claude 3 Opus outperformed other LLMs and radiologists in text-based thoracic radiology cases. LLMs hold great promise for clinical decision systems under proper medical supervision.

Journal of Thoracic ImagingVol. 40(3)
State Hospital (GB), Kırıkkale University (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
1.32
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The Diagnostic Performance of Large Language Models and General Radiologists in Thoracic Radiology Cases — Turay Cesur, Yasin Celal Güneş · Journal of Thoracic Imaging (2024) | TGRS Research Map | TGRS