Back to all news
ChatGPT-Generated Questions Match Quality of Radiologist-Written MCQs for Residents
Tags:Research
A study found that ChatGPT can generate multiple-choice questions for radiology residents of comparable quality to those written by attending radiologists.
Key Details
- 1Study published July 7 in Academic Radiology assessed MCQs for resident education.
- 2144 MCQs were generated by ChatGPT from lecture transcripts; 17 used in the study.
- 3Questions were mixed with 11 radiologist-written MCQs; 21 residents participated.
- 4No significant difference in perceived quality: ChatGPT MCQ mean score 6.93 vs. 7.08 for attendings.
- 5Correct answer rate similar: ChatGPT (57%), attendings (59%).
- 6Residents were less likely to identify ChatGPT questions as written by attendings.
Why It Matters
This validation shows that large language models like ChatGPT can support radiology education by efficiently generating high-quality, non-image-based assessment material. Such tools could address faculty participation gaps and streamline resident assessment in radiology programs.
Source
AuntMinnie
Related News
•Health Imaging
AI as Second Reader Surpasses Radiologists in Breast Cancer Screening
AI used as a second reader on mammograms improves cancer detection rates compared to radiologists alone.
•Health Imaging
AI-Powered Ultrasound Tool Predicts Delivery Timing for Pregnant Patients
Researchers have created an AI model using ultrasound to accurately forecast expectant mothers’ delivery timelines.
•AuntMinnie
ChatGPT-4 Turbo Powers Postdeployment Monitoring of ICH Detection AI
Researchers found ChatGPT-4 Turbo could efficiently monitor the performance of Aidoc's ICH detection AI across real-world radiology practices.