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Updated: Aug 2, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
A comparison of ChatGPT-generated articles with human-written articles
Sisith Ariyaratne1, Karthikeyan P Iyengar2, Neha Nischal3
1Department of Musculoskeletal Radiology, The Royal Orthopedic Hospital, Bristol Road South, Northfield, Birmingham, UK.
ChatGPT-generated academic articles appear coherent but contain significant factual inaccuracies and fabricated references, raising concerns about their reliability in scientific research.
Area of Science:
- Artificial Intelligence in Medicine
- Scientific Publishing
Background:
- ChatGPT, an AI language tool, generates human-like text.
- Concerns exist regarding the accuracy of AI-generated academic content.
Purpose of the Study:
- To compare the accuracy and quality of ChatGPT-generated academic articles against human-authored ones.
- To assess the reliability of AI-generated scientific literature.
Main Methods:
- Evaluated ChatGPT-generated radiology articles against published/under-review works.
- Two fellowship-trained musculoskeletal radiologists independently graded articles on a 1-5 accuracy scale.
Main Results:
- Four out of five ChatGPT articles were significantly inaccurate with fictitious references.
- One article was well-written but contained entirely fabricated references.
- AI-generated articles may appear authentic to non-expert readers.
Conclusions:
- ChatGPT can produce coherent research articles that mimic authentic publications.
- All assessed ChatGPT articles contained factual inaccuracies and fake references.
- The reliability of AI-generated scientific content requires critical evaluation.
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