ChatGPT can significantly speed up and improve accuracy in ICD-10 coding of PET/CT exam reports.
Key Details
- 1Study at Charité University Hospital assessed ChatGPT for ICD-10 coding of 100 fictitious PET/CT reports.
- 2ChatGPT-assisted coding reduced median coding time to 8 seconds vs. 135 seconds for manual coding.
- 3ChatGPT outperformed manual coding in accuracy, especially at fourth/fifth ICD-10 code characters (6 errors vs. 17, p = 0.035).
- 4Centers performing 30 PET/CT scans daily could save at least one clinician hour per day using ChatGPT.
- 5The method may be applicable to other modalities like CT or MRI per the researchers.
- 6Awarded RSNA Trainee Research Prize in Resident category.
Why It Matters
Automated coding support with AI like ChatGPT can lower clerical workload, reduce burnout risk, and enhance both productivity and accuracy for radiology professionals. Scalable solutions may improve efficiency across diverse imaging departments.
Source
AuntMinnie
Related News
•Radiology Business
Meta Funds Ohio State’s Radiology AI Innovation Projects
Meta will fund Ohio State researchers to explore AI-driven advancements in radiology, including chest X-ray reporting and disease prediction.
•AuntMinnie
ChatGPT-5 Performs Poorly at Detecting Distal Radius Fractures on X-rays
ChatGPT-5 missed about half of distal radius fractures on x-rays, showing limited diagnostic capability in a real-world scenario.
•AuntMinnie
AI Triage Tool Speeds Up ICH Head CT Turnaround in ED
AI-based triage for intracranial hemorrhage on head CT reduced emergency department report turnaround by 13 minutes.