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A Feasibility Study of AI-Assisted Physiotherapy for Oral Cancer Patients

16 juli 2026 uppdaterad av: National Taiwan University Hospital

A Feasibility Study of AI-Assisted Physiotherapy for Oromandibular and Neck-Shoulder Mobility in Oral Cancer Patients

This study aims to evaluate the feasibility, safety, and acceptability of a newly developed artificial intelligence (AI)-assisted physiotherapy system for oromandibular and neck-shoulder range of motion (ROM) in patients who have undergone treatment for oral cancer.

In this single-group, prospective, non-randomized pilot study, recruited participants will receive 4 to 6 weeks of AI-assisted physiotherapy. Participants will undergo a comprehensive clinical evaluation at baseline and post-intervention. During the intervention period, the AI system will perform a daily automated assessment to dynamically generate and adjust personalized exercise programs. Participants will perform these prescribed programs 3 to 4 times daily. Pre- and post-intervention changes, along with key feasibility parameters, acceptability, and safety metrics, will be statistically analyzed to inform future definitive trials.

Studieöversikt

Status

Har inte rekryterat ännu

Intervention / Behandling

Detaljerad beskrivning

This is a single-group, prospective, non-randomized pilot feasibility study. Oral cancer patients with trismus or neck-shoulder impairment will be trained to exercise their jaw or neck-shoulder muscles using an AI-assisted physiotherapy assessment system, which is reliable and valid. The study aims to recruit approximately 15 patients who meet the inclusion and exclusion criteria. This sample size is sufficient for the primary goal of assessing study procedures, recruitment rates, and study adherence of this supportive care intervention, rather than determining definitive treatment efficacy.

Participants will undergo a comprehensive clinical evaluation at baseline and post-intervention. The 4-to-6-week intervention features a daily automated assessment using a previously validated AI-assisted physiotherapy assessment system. Based on these assessments, an established system clinical workflow then dynamically generates a personalized exercise curriculum for that day. Participants will perform these exercise programs 3 to 4 times daily.

Key feasibility metrics, including recruitment rate, retention rate, intervention adherence, and system acceptability (SUS score), will be summarized using descriptive statistics. Adherence will be monitored automatically via server log data. Following the Intention-to-Treat (ITT) principle, technical dropouts who transition to face-to-face therapy will be documented as a feasibility outcome to identify technical barriers.

Preliminary efficacy will be evaluated by analyzing functional changes from baseline to endpoint, including Maximal Interincisal Opening (MIO), cervical and shoulder ROM, upper extremity function questionnaires, and quality-of-life questionnaires. Depending on data distribution, changes will be analyzed using the Paired t-test or the Wilcoxon Signed-Rank Test. Effect size estimates (Cohen's d) and their 95% confidence intervals will be calculated.

This study is expected to provide essential feasibility and safety evidence of an AI-assisted home-based exercise protocol, establishing a foundation and providing sample size calculations for a subsequent randomized controlled trial.

Studietyp

Interventionell

Inskrivning (Beräknad)

15

Fas

  • Inte tillämpbar

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studiekontakt

Studieorter

      • Taipei, Taiwan, 100
        • School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
        • Kontakt:

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

  • Vuxen
  • Äldre vuxen

Tar emot friska volontärer

Nej

Beskrivning

Inclusion Criteria:

  • Oral cancer patients with trismus, clinical signs of neck or shoulder joint impairment after oral cancer surgery or radiotherapy in recent 12 months
  • Age between 20 and 70 years

Exclusion Criteria:

  • Could not communicate
  • Had any disorder that could influence movement performance (e.g., stroke, Parkinsonism, head injury)

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

  • Primärt syfte: Stödjande vård
  • Tilldelning: N/A
  • Interventionsmodell: Enskild gruppuppgift
  • Maskning: Ingen (Open Label)

Vapen och interventioner

Deltagargrupp / Arm
Intervention / Behandling
Experimentell: AI-Assisted Physiotherapy Group
AI-assisted physiotherapy system
This study will recruit 15 oral cancer patients for feasibility testing, and the duration of participation for each subject is 4 to 6 weeks

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Feasibility and Intervention Adherence
Tidsram: At the post-intervention endpoint (4 to 6 weeks)
Feasibility will be evaluated by calculating the study retention rate, defined as the percentage of enrolled participants who successfully complete the entire study protocol and the post-intervention assessment. Intervention adherence will be automatically tracked and recorded via the system server log data, calculated as the percentage of completed AI-prescribed exercise sessions out of the total prescribed sessions over the 4-to-6-week period.
At the post-intervention endpoint (4 to 6 weeks)
System Usability and Acceptability
Tidsram: At the post-intervention endpoint (4 to 6 weeks)
Evaluated using the Chinese version of the System Usability Scale (SUS). The SUS is a 10-item Likert scale providing a global view of subjective usability assessments. Scores range from 0 to 100, where higher scores indicate better usability and higher patient acceptability of the AI system.
At the post-intervention endpoint (4 to 6 weeks)

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Maximal mouth opening (MMO)
Tidsram: Baseline and post-intervention endpoint (4 to 6 weeks)
Measured clinically in millimeters (mm) using TheraBite ROM scale to assess the severity and changes in trismus.
Baseline and post-intervention endpoint (4 to 6 weeks)
Cervical Range of Motion (ROM)
Tidsram: Baseline and post-intervention endpoint (4 to 6 weeks)
Cervical range of motion will be measured in degrees using standard clinical goniometry
Baseline and post-intervention endpoint (4 to 6 weeks)
Shoulder Range of Motion (ROM)
Tidsram: Baseline and post-intervention endpoint (4 to 6 weeks)
Shoulder joint range of motion will be measured in degrees using standard clinical goniometry
Baseline and post-intervention endpoint (4 to 6 weeks)
Upper Extremity Function
Tidsram: Baseline and post-intervention endpoint (4 to 6 weeks)
Evaluated using a standardized upper extremity function questionnaire. Lower scores represent better functional status.
Baseline and post-intervention endpoint (4 to 6 weeks)
Quality of Life (QoL)
Tidsram: Baseline and post-intervention endpoint (4 to 6 weeks)
Evaluated using a cancer-specific quality of life questionnaire to assess subjective functional recovery and overall well-being. Higher scores represent better functional status and quality of life.
Baseline and post-intervention endpoint (4 to 6 weeks)

Samarbetspartners och utredare

Det är här du hittar personer och organisationer som är involverade i denna studie.

Utredare

  • Huvudutredare: Yueh-Hsia Chen, PhD, School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University

Publikationer och användbara länkar

Den som ansvarar för att lägga in information om studien tillhandahåller frivilligt dessa publikationer. Dessa kan handla om allt som har med studien att göra.

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Beräknad)

27 juli 2026

Primärt slutförande (Beräknad)

31 juli 2027

Avslutad studie (Beräknad)

31 december 2027

Studieregistreringsdatum

Först inskickad

26 maj 2026

Först inskickad som uppfyllde QC-kriterierna

8 juni 2026

Första postat (Faktisk)

9 juni 2026

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

20 juli 2026

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

16 juli 2026

Senast verifierad

1 juli 2026

Mer information

Termer relaterade till denna studie

Plan för individuella deltagardata (IPD)

Planerar du att dela individuella deltagardata (IPD)?

NEJ

IPD-planbeskrivning

Individual participant data (IPD) will not be shared due to privacy considerations and institutional regulations. Although the AI system processes de-identified keypoint data, the dataset may still contain information that could potentially be re-identified. Data sharing may be considered upon reasonable request and subject to institutional review and data protection policies.

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