Actively Recruiting
AI as an Aid for Weekly Symptom Intake in Radiotherapy
Led by jaide · Updated on 2024-10-10
200
Participants Needed
1
Research Sites
20 weeks
Total Duration
On this page
Sponsors
J
jaide
Lead Sponsor
N
National Cancer Institute, Brazil
Collaborating Sponsor
AI-Summary
What this Trial Is About
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
Official Title
AI as an Aid for Weekly Symptom Intake in Radiotherapy
Who Can Participate
Eligibility Criteria
You may qualify if you...
- All patients undergoing radiotherapy in the pelvic region.
You will not qualify if you...
- Cases of pelvic reirradiation
- Operated cases
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Instituto Nacional de Câncer José Alencar Gomes da Silva - INCA
Rio de Janeiro, Brazil
Actively Recruiting
Research Team
R
Rachele Grazziotin, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
2
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