Predicting patient satisfaction in digital orthodontics using a KAC based model integrating AI support and risk stratification.

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Title: Predicting patient satisfaction in digital orthodontics using a KAC based model integrating AI support and risk stratification.
Authors: Xiaoting X; North Sichuan Medical College, No. 55 Dongshun Road, Gaoping District, Nanchong, Sichuan, China.; The Affiliated Hospital of North Sichuan Medical College, No. 1, Maoyuan South Road, Shunqing District, Nanchong, Sichuan, China.; School of Graduate Studies, Post Graduate Centre, Management and Science University (MSU), University Drive, Off Persiaran Olahraga, Section 13, Shah Alam, Selangor, Malaysia., Ismail NA; School of Graduate Studies, Post Graduate Centre, Management and Science University (MSU), University Drive, Off Persiaran Olahraga, Section 13, Shah Alam, Selangor, Malaysia. nurulazira_ismail@msu.edu.my.; Faculty of Health and Life Science, Management and Science University (MSU), University Drive, Off Persiaran Olahraga, Section 13, Shah Alam, Selangor, Malaysia. nurulazira_ismail@msu.edu.my., Liu Y; North Sichuan Medical College, No. 55 Dongshun Road, Gaoping District, Nanchong, Sichuan, China.; The Affiliated Hospital of North Sichuan Medical College, No. 1, Maoyuan South Road, Shunqing District, Nanchong, Sichuan, China., Abbas RA; School of Graduate Studies, Post Graduate Centre, Management and Science University (MSU), University Drive, Off Persiaran Olahraga, Section 13, Shah Alam, Selangor, Malaysia., Song Q; The Affiliated Hospital of North Sichuan Medical College, No. 1, Maoyuan South Road, Shunqing District, Nanchong, Sichuan, China.; School of Graduate Studies, Post Graduate Centre, Management and Science University (MSU), University Drive, Off Persiaran Olahraga, Section 13, Shah Alam, Selangor, Malaysia., Ruiting L; North Sichuan Medical College, No. 55 Dongshun Road, Gaoping District, Nanchong, Sichuan, China.
Source: Scientific reports [Sci Rep] 2026 Feb 26; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-39105-2