Advanced systems for intraoperative cartilage evaluation and treatment demonstrate early feasibility and a shift towards integrating artificial intelligence: A scoping review
Logan D Moews, Samuel A Alfonsi, Volker Musahl, Michael T Hirschmann, Brian J Cole, Jorge Chahla, Kyle N Kunze · 2026
Read Advanced systems for intraoperative cartilage evaluation and treatment demonstrate early feasibility and a shift towards integrating artificial intelligence: A scoping review by Logan D Moews, Samuel A Alfonsi, Volker Musahl, Michael T Hirschmann, Brian J Cole, Jorge Chahla, Kyle N Kunze (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/PMC13622897.txt.
Description
Logan D Moews and colleagues published a 2026 scoping review of advanced tools that help surgeons judge and treat cartilage damage during an operation itself. Cartilage defects in joints such as the knee are hard to size by eye, and poor sizing leads to poor repairs. The review gathers early studies of artificial intelligence mapping, computer navigation, and related systems used in real time.
Seven studies passed the screening, drawn from three databases searched in March 2026. Artificial intelligence systems outlined damaged areas with accuracy close to human markings, though weak images hurt their scores. Navigation cut angle errors in graft cutting and placement from over twelve degrees freehand to under four degrees. One laser scanning system measured defects with errors under half a millimetre and finished in minutes rather than a quarter hour. The authors call the results promising but early, and ask for real clinical trials next.
Catalog record
| CREATOR | Logan D Moews, Samuel A Alfonsi, Volker Musahl, Michael T Hirschmann, Brian J Cole, Jorge Chahla, Kyle N Kunze |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42187 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |