Pediatric validation of an AI-assisted smartphone application (WebCeph) for cephalometric analysis: reliability, reproducibility and time-efficiency assessment
Rohan SHINDE, Dinesh RAO, Sunil PANWAR, Manan PHALKE · 2026
Read Pediatric validation of an AI-assisted smartphone application (WebCeph) for cephalometric analysis: reliability, reproducibility and time-efficiency assessment by Rohan SHINDE, Dinesh RAO, Sunil PANWAR, Manan PHALKE (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/pmc-13185514.txt.
Description
Rohan Shinde, Dinesh Rao, Sunil Panwar, and Manan Phalke tested a phone app that uses artificial intelligence to trace skull X-rays for children's braces planning. Most checks of such apps used adult films, but growing children's landmarks shift and vary more. The team compared the app with hand tracing on fifty-one side skull films of children aged seven to twelve.
Both methods proved steady, and nearly all measures matched. A few angles differed by amounts too small to matter in care. The app cut tracing time by about half, near nine minutes against nineteen. The authors call it a sound, fast helper for child orthodontic work.
Catalog record
| CREATOR | Rohan SHINDE, Dinesh RAO, Sunil PANWAR, Manan PHALKE |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |