Data for: Comparison of the Effects of Artificial Intelligence, Virtual Reality, and Traditional Balance Training Programs on Balance and Gait in Older Adults

README — Research Data for the Manuscript: "Comparison of the Effects of Artificial Intelligence, Virtual Reality, and Traditional Balance Training Programs on Balance and Gait in Older Adults" 1. Authors Anonymous¹*, Anonymous², Anonymous³ ¹ blinded for peer review ² blinded for peer review ³ blinded for peer review 2. Description of the dataset This repository contains the de-identified raw data supporting all analyses reported in the above-cited manuscript. The data come from a stratified, parallel-group, randomized controlled trial (n = 48; age 60–75 years; 1:1:1 allocation to VR / AI chatbot / Traditional Balance training; 8-week intervention; baseline, post-intervention, and 2-month follow-up assessments). 3. Files included • Dependent variables 2.sav— Complete de-identified trial data (one row per participant; all variables, all timepoints). • SUS_Raw_Data.csv — Item-level System Usability Scale data for VR and AI groups. • README.docx — This file. 4. Trial registration & ethics blinded for peer review Ethics approval: blinded for peer review All participants provided written informed consent prior to enrollment, in accordance with the Declaration of Helsinki. 5. Variables — quick reference • ParticipantID — anonymous identifier • Group — VR / AI / TB • Sex, Age_years, Height_cm, Weight_kg, BMI, MMSE — baseline demographics • Completed_protocol — Yes/No • Balance outcomes (Pre/Post/FollowUp): BESTest, OLS, TUG, FRT, ABC • Gait outcomes (Pre/Post/FollowUp): GaitSpeed, Cadence, GSR • SUS items (Item1–Item10) and SUS_Total (range 0–100) • Missing values are coded as 'NA'. 6. How to cite this dataset blinded for peer review. Data for "Comparison of the Effects of Artificial Intelligence, Virtual Reality, and Traditional Balance Training Programs on Balance and Gait in Older Adults" [Data set]. [Repository name — replace after deposit]. https://doi.org/[DOI] 7. License Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt the material for any purpose, provided proper attribution is given. 8. Contact For questions, requests for further data, or collaboration, please contact the corresponding author at [e-mail].