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Develop and Evaluate An Artificial Intelligence Assisted Prehabilitation Program for Returning to Work and Cost-effectiveness Analysis in Patients With Oral Cancer

T

Taipei Veterans General Hospital

Status

Enrolling

Conditions

Physiotherapy
Artifical Intelligence
Oral Cancer
Motor Function
Prehabilitation
Case Management, APP(Application)
Cost Effectiveness
Psychological Distress
Prediction Model
Rehabilitation
Quality of Life
Return to Work
Communication Aids for Disabled
Physical Symptom Distress

Treatments

Behavioral: AI-based physiotherapy
Behavioral: Conventional physiotherapy
Behavioral: Scar management
Device: Prehabilitation application

Study type

Interventional

Funder types

Other

Identifiers

NCT07562100
NSTC 113-2314-B-002 -298 - (Other Grant/Funding Number)
NSTC 113-2314-B-A49 -078 - (Other Grant/Funding Number)
NSTC 114-2314-B-A49 -018 - (Other Grant/Funding Number)
NSTC 114-2314-B-A49 -017 - (Other Grant/Funding Number)
NSTC 113-2314-B-A49 -076 - (Other Grant/Funding Number)
NSTC 114-2314-B-002 -044 - (Other Grant/Funding Number)
2024-03-011BC
NSTC 113-2314-B-A49 -077 - (Other Grant/Funding Number)
NSTC 114-2314-B-A49 -016 - (Other Grant/Funding Number)

Details and patient eligibility

About

The goal of this clinical trial is to develop and evaluate an Artificial Intelligence Assisted Prehabilitation Program (AI APP) for returning to work and cost-effectiveness analysis in patients with oral cancer (OC). The main questions it aims to answer are:

  • What kinds of needs are related to returning to work (RTW) in patients with OC from diagnosis to survival that we can incorporate into the development of AI APP to assist this population ?
  • How is the effect of the AI APP that based on findings from the first question for patients with OC on physical and psychological distress, fear of recurrence, self-efficacy in coping with cancer, communication, motor function, quality of life, and RTW?
  • How is the effect of the RTW AI prediction model to identify high-risk groups ? And how is the comprehensive cost effectiveness of benefits and quality of life of the AI APP for OC population?

Researchers will compare patients without using AI APP to see if the AI APP works to assist with coping physical and psychological distress, communication, motor function, quality of life, and RTW issues for individuals with OC?

Participants will:

  • Be asked to fulfill a structural questionnaire, or engage in a semi-structured one-by-one interview or a focus group to assess their physical, psychological, and social support needs in the first stage.
  • Be invited to participant the pilot testing of AI APP in the second stage.
  • Be provided and trained by 3-month AI APP for 3 months or cared as usual in the third stage.
  • Complete a structural questionnaire and follow up one year, including the baseline (before using the AI app) and at 1-2 weeks, 3 months, 6 months, 9 months, and 12 months after the baseline.
  • Engage in one-by-one interview or a focus group to assess user experiences of the AI APP.

Enrollment

650 estimated patients

Sex

All

Ages

20 to 70 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Adult (> 20 years old and younger than 70 years old)
  • Newly diagnosed as OC and scheduled to receive cancer-related treatment
  • Able to use Mobile phone
  • Willing to sign an informed consent form after receiving a detailed explanation of the study's aims and procedures
  • Healthcare professionals involved in patients' care, including doctors, nurses, case managers, dietitians, rehabilitation therapists, and psychologists
  • Family members who are primary caregivers of the participating patients, engaged in different stages of medical care

Exclusion criteria

  • Risk populations for walking or performing exercise
  • Patients with cognitive impairment or psychiatric diseases

Trial design

Primary purpose

Supportive Care

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

650 participants in 2 patient groups

Control group Usual care
Active Comparator group
Description:
The patients in this group will not use the AI APP. They will receive 12 times of physiotherapy and keep receiving usual care.
Treatment:
Behavioral: Scar management
Behavioral: Conventional physiotherapy
Intervention group
Experimental group
Description:
The patients in this group will receive and use AI APP while receiving usual care.
Treatment:
Device: Prehabilitation application
Behavioral: Scar management
Behavioral: AI-based physiotherapy

Trial contacts and locations

3

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Central trial contact

Shiow-Ching Shun

Data sourced from clinicaltrials.gov

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