Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations-Reference-Cited by-同舟云学术

Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations

Published:2024-01-01 Issue:1 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Almeida Leonardo C.¹^ORCID,Farina Eduardo M. J. M.¹^ORCID,Kuriki Paulo E. A.¹^ORCID,Abdala Nitamar¹^ORCID,Kitamura Felipe C.¹^ORCID

Affiliation:

1. From the Department of Artificial Intelligence and Management (L.C.A., E.M.J.M.F., N.A., F.C.K.), Graduate Program in Medicine (Clinical Radiology), Universidade Federal de São Paulo (UNIFESP), Rua Botucatu, 740, 04023-062, São Paulo, São Paulo, Brazil; AI Lab (L.C.A., E.M.J.M.F., P.E.A.K., F.C.K.), Dasa, São Paulo, São Paulo, Brazil.

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230103

Reference9 articles.

1. Left Atrial Volume as a Biomarker of Atrial Fibrillation at Routine Chest CT: Deep Learning Approach

2. Visual Transformers and Convolutional Neural Networks for Disease Classification on Radiographs: A Comparison of Performance, Sample Efficiency, and Hidden Stratification

3. AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial

4. High-performance medicine: the convergence of human and artificial intelligence

5. An Extensive Study on Pretrained Models for Natural Language Processing Based on Transformers

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