Artificial Intelligence, Deep Learning, and Computer Vision in Hysteroscopy: A Systematic Review
Rafał Watrowski, Attilio Di Spiezio Sardo, Peter Török, Andrea Rosati, Stoyan Kostov, Ibrahim Alkatout, Salvatore Giovanni Vitale · 2026
Read Artificial Intelligence, Deep Learning, and Computer Vision in Hysteroscopy: A Systematic Review by Rafał Watrowski, Attilio Di Spiezio Sardo, Peter Török, Andrea Rosati, Stoyan Kostov, Ibrahim Alkatout, Salvatore Giovanni Vitale (2026) 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/PMC13298016.txt.
Description
Machine sight is entering the womb exam room, and Rafał Watrowski and his team take stock of it in a 2026 review. The exam, called hysteroscopy, is the gold way to see inside the uterus. Its reads rest on the eye of the doctor, and AI tools might make those reads more steady.
The team found 19 studies. Jobs ranged from sorting lesions and live spotting to image cutting, surgery help, and odds of later pregnancy. Top marks came in plain yes-or-no tasks and in big multi-site tools, one of which hit an AUC of 0.979 on home data. Wider class sets did worse. Most work was from one site and looked back in time, so the team see a support role for the tools for now.
Catalog record
| CREATOR | Rafał Watrowski, Attilio Di Spiezio Sardo, Peter Török, Andrea Rosati, Stoyan Kostov, Ibrahim Alkatout, Salvatore Giovanni Vitale |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50028 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |