Scientific Reports
Clinician-curated ChatGPT-4o– and DeepSeek-R1–assisted exercise programmes added to standard physiotherapy for subacromial pain syndrome: a triple-masked randomized controlled trial
By Ömer Alperen Gürses, Selin Özmut, Elife Ceyda Okumuş and 12 others.
Abstract
Large language models may assist clinicians in developing exercise programmes and could offer an alternative approach to conventional physiotherapist-designed rehabilitation in musculoskeletal disorders such as subacromial pain syndrome. The aim of this triple-masked randomized controlled trial was to compare clinician-curated ChatGPT-4o– and DeepSeek-R1–assisted exercise programmes with a conventional physiotherapist-designed exercise programme in individuals with subacromial pain syndrome. This 3-arm randomized controlled trial was conducted in the outpatient physical medicine and rehabilitation clinic of a university-affiliated hospital. Adults aged 18 to 65 years with subacromial pain syndrome were randomized in a 1:1:1 ratio to receive conventional, clinician-curated ChatGPT-4o–assisted, or clinician-curated DeepSeek-R1–assisted exercise programming. All groups received identical physical therapy modalities and supervised exercise sessions 3 times per week for 6 weeks. The primary outcome was the Shoulder Pain and Disability Index. Secondary outcomes included pain during activity, Quick Disabilities of the Arm, Shoulder and Hand, and the 12-Item Short Form Health Survey. Between-group comparisons were based on change scores from baseline to week 6. Seventy-five participants were enrolled, and 69 completed the 6-week follow-up. Shoulder Pain and Disability Index scores improved in all groups, with no significant between-group difference over 6 weeks ( P = 0.428). No significant between-group differences were found for key secondary outcomes after Holm adjustment, including pain during activity ( P = 0.744), Quick Disabilities of the Arm, Shoulder and Hand ( P = 0.744), and physical component summary scores ( P = 0.374). Resting pain differed significantly between groups ( P = 0.005), favouring DeepSeek-R1 over conventional programming (mean difference, 2.74 [95% CI, 1.26 to 4.22]). No adverse events were reported. Clinician-curated ChatGPT-4o– and DeepSeek-R1–assisted exercise programmes did not produce superior 6-week improvements in shoulder pain-related disability or key functional outcomes compared with conventional programming in subacromial pain syndrome; these findings should not be interpreted as establishing equivalence. The observed resting-pain difference in favour of DeepSeek-R1 was exploratory and requires confirmation. Clinical trial registration : ClinicalTrials.gov (NCT07148687) First Posted 3 August 2025.








