Impact of Artificial Intelligence on Polyp Size and Surveillance Colonoscopy: A Phantom Study
Muhammad N Yousaf, Neal Sharma, Michelle L Matteson-Kome, Srinivas Puli, Douglas Nguyen, Matthew L Bechtold · 2024
Read Impact of Artificial Intelligence on Polyp Size and Surveillance Colonoscopy: A Phantom Study by Muhammad N Yousaf, Neal Sharma, Michelle L Matteson-Kome, Srinivas Puli, Douglas Nguyen, Matthew L Bechtold (2024) 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-11676628.txt.
Description
Muhammad Yousaf and co-authors test a smart system for sizing colon polyps in 2024. Polyp size decides how soon a patient should return for a follow-up scope. Doctors judge size by eye during the procedure, which can be imprecise.
Eleven videos from a model colon were scored by eleven gut doctors and by the system. Doctors averaged about three-quarters correct on size, while the system scored near perfect. Doctors' follow-up advice was off far more often, with most errors advising a too-short wait. The authors suggest such tools could cut costs by fixing follow-up timing.
Catalog record
| CREATOR | Muhammad N Yousaf, Neal Sharma, Michelle L Matteson-Kome, Srinivas Puli, Douglas Nguyen, Matthew L Bechtold |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 17 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |