Intelligent documentation in medical education: can AI replace manual case logging?
Nafiz Imtiaz Khan, Kiley Cleland, Vladimir Filkov, Roger Eric Goldman · 2026
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Description
Nafiz Imtiaz Khan and colleagues ask whether language models can replace manual case logging in radiology training, in a 2026 feasibility study. Residents spend many hours recording procedures by hand. The team tested local and commercial models on 414 reports by nine residents training in interventional radiology from 2018 to 2024.
Both model types beat the standard benchmark at extracting case details. Scores for the best local and commercial systems were nearly equal, around eighty-seven percent on the F1 measure. Commercial services answered faster, while local hosting cut recurring cost. Automation might save each resident over 35 hours a year, though wider validation and safeguards must come before adoption.
Catalog record
| CREATOR | Nafiz Imtiaz Khan, Kiley Cleland, Vladimir Filkov, Roger Eric Goldman |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |