Enhancing Patient Understanding of Perianal Fistula MRI Findings Using ChatGPT: A Randomized, Single Centre Study
Easan Anand, Itai Ghersin, Gita Lingam, Katie Devlin, Theo Pelly, Daniel Singer, Chris Tomlinson, Robin E. J. Munro, Rachel Capstick, Anna Antoniou, Ailsa L. Hart, Phil Tozer, Kapil Sahnan, Phillip Lung · 2025
Read Enhancing Patient Understanding of Perianal Fistula MRI Findings Using ChatGPT: A Randomized, Single Centre Study by Easan Anand, Itai Ghersin, Gita Lingam, Katie Devlin, Theo Pelly, Daniel Singer, Chris Tomlinson, Robin E. J. Munro, Rachel Capstick, Anna Antoniou, Ailsa L. Hart, Phil Tozer, Kapil Sahnan, Phillip Lung (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12785849.txt.
Description
Easan Anand and co-authors test AI-written summaries of scan reports in a 2025 study. MRI reports on anal fistulas are dense, and patients often leave clinic unsure what was found. A large language model might restate the findings in plain words, if it stays faithful.
Two hundred fifty reports were rewritten and checked by a specialist panel; invented content appeared in about one in nine. Sixty-one patients then rated paired original and AI versions, blind to which was which. The AI versions scored far higher on readability and grasp, and patients trusted them. Panel checks still matter, since the error rate was real. The study backs supervised use.
Catalog record
| CREATOR | Easan Anand, Itai Ghersin, Gita Lingam, Katie Devlin, Theo Pelly, Daniel Singer, Chris Tomlinson, Robin E. J. Munro, Rachel Capstick, Anna Antoniou, Ailsa L. Hart, Phil Tozer, Kapil Sahnan, Phillip Lung |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |