AI (Artificial Intelligence), Oral Cancer
Conditions
Keywords
Oral cancer, Artificial intelligence, Maximum interincisal opening, Physiotherapy, Range of motion, Neck and shoulder
Brief summary
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.
Detailed description
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.
Interventions
BEHAVIORALAI-assisted physiotherapy
This study will recruit 15 oral cancer patients for feasibility testing, and the duration of participation for each subject is 4 to 6 weeks
Sponsors
National Taiwan University Hospital
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Intervention model description
This is a single-arm, prospective, non-randomized pilot study where all recruited participants receive the same AI-assisted physiotherapy intervention. Pre- and post-intervention evaluations are performed on the same group to analyze functional changes.
Eligibility
Sex/Gender
ALL
Age
20 Years to 70 Years
Healthy volunteers
No
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)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Feasibility and Intervention Adherence | 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. |
| System Usability and Acceptability | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Maximal mouth opening (MMO) | 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. |
| Cervical Range of Motion (ROM) | Baseline and post-intervention endpoint (4 to 6 weeks) | Cervical range of motion will be measured in degrees using standard clinical goniometry |
| Shoulder Range of Motion (ROM) | Baseline and post-intervention endpoint (4 to 6 weeks) | Shoulder joint range of motion will be measured in degrees using standard clinical goniometry |
| Upper Extremity Function | Baseline and post-intervention endpoint (4 to 6 weeks) | Evaluated using a standardized upper extremity function questionnaire. Lower scores represent better functional status. |
| Quality of Life (QoL) | 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. |
Countries
Taiwan
Contacts
CONTACTYueh-Hsia Chen, PhD
PRINCIPAL_INVESTIGATORYueh-Hsia Chen, PhD
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Outcome results
None listed