Artificial Intelligence Diagnosing of Oral Lichen Planus: A Comparative Study
Sensen Yu, Wansu Sun, Dawei Mi, Siyu Jin, Xing Wu, Baojian Xin, Hengguo Zhang, Yuanyin Wang, Xiaoyu Sun, Xin He · 2024
Read Artificial Intelligence Diagnosing of Oral Lichen Planus: A Comparative Study by Sensen Yu, Wansu Sun, Dawei Mi, Siyu Jin, Xing Wu, Baojian Xin, Hengguo Zhang, Yuanyin Wang, Xiaoyu Sun, Xin He (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-11591578.txt.
Description
Yu and co-authors test whether chatbots can diagnose a mouth disease from photos in this 2024 study. Oral lichen planus is a chronic inflammatory condition that is hard to spot early. Diagnosis usually rests on a clinician's experience and judgment.
The team gathered lesion images from 128 confirmed patients. Three AI platforms judged the images, first cold and then after feature training. Training lifted recognition sharply: one model rose from 59 to 77 percent, another from 68 to 80, and a third from 15 to 50. Cheek lesions were easiest, reaching the mid-90s for two models. Gum lesions stayed hard, near 60 percent at best. The authors see promise with clear site limits.
Catalog record
| CREATOR | Sensen Yu, Wansu Sun, Dawei Mi, Siyu Jin, Xing Wu, Baojian Xin, Hengguo Zhang, Yuanyin Wang, Xiaoyu Sun, Xin He |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 21 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |