Clinical trial · Interventional
AI as an Aid for Weekly Symptom Intake in Radiotherapy
Evaluation of AI-Enhanced Symptom Summarization in Weekly Radiotherapy Consultations: A Comparative Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The study investigates the use of artificial intelligence (AI) and large language models (LLMs) to enhance the efficiency and accuracy of weekly treatment consultations (OTVs) in radiotherapy. It hypothesizes that an AI-enabled symptom summary tool will match traditional medical review methods in accuracy while saving time. The study includes patients undergoing pelvic radiotherapy and excludes those with pelvic reirradiation or who have undergone surgery. Patients will receive both standard and AI-assisted weekly consultations, with AI summaries generated using the OpenAI GPT-4 API. Blinded oncologists will compare the accuracy and quality of the AI-generated and doctor-generated summaries, while patients and doctors will rate these summaries. The primary objective is to evaluate the accuracy and time efficiency of AI-assisted symptom summaries compared to traditional methods.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Patient | — | UNRESOLVED | — |
| Pelvic Cancer | Malignant Pelvic Neoplasm | ALIAS | 0.90 |
| Radiotherapy Side Effect | — | UNRESOLVED | — |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Generative Artificial Intelligence | Other | — | UNRESOLVED |
| Standard weekly symptom intake | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- ACTIVE_COMPARATOR
- label
- Standard weekly symptom assessment by physicians
- interventionNames
- Other: Standard weekly symptom intake
- type
- EXPERIMENTAL
- label
- AI-assisted symptom intake
- interventionNames
- Other: Generative Artificial Intelligence
Primary outcomes (1)
- measure
- The Physician Documentation Quality Instrument-9 (PDQI-9)
- timeFrame
- 2 months
- description
- The Physician Documentation Quality Instrument-9 (PDQI-9) will be used to evaluate the quality of the documentation. The PDQI-9 is a validated questionnaire that assesses nine key elements of documentation quality: completeness, correctness, consistency, comprehensibility, relevance, organization, conciseness, formatting, and overall impression.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: All patients undergoing radiotherapy in the pelvic region. Exclusion Criteria: Cases of pelvic reirradiation or operated cases.
References
Publications (0)
Data not yet available