Evaluating an AI-Based Mobile Application for Chemotherapy Support in Breast Cancer Patients

Summary

The goal of this clinical trial is to learn if an Arabic-language mobile application that uses artificial intelligence (AI) can help women with breast cancer during chemotherapy. The app is designed to give personalized support by reminding participants about their medications, teaching them how to manage treatment side effects, and alerting their healthcare team about serious symptoms.

The main questions this study aims to answer are:

1. Does the AI-based mobile app provide accurate and safe recommendations for the patients?
2. Does using the AI-based mobile app help lower treatment-related symptoms and side effects compared to usual care?
3. Does the app help participants take their medications more regularly?
4. Does it increase participants' understanding and satisfaction with the information they receive about their treatment?

Researchers will compare two groups:

Group 1: Participants who use the AI-based mobile app plus usual oncology care. Group 2: Participants who receive usual care only.

Participants will:

1. Use the mobile app daily for 12 weeks while receiving chemotherapy.
2. Complete short questionnaires about symptoms, medication use, and quality of life at the start and end of the study.
3. Report any problems or feedback about using the app. The AI app is for support and education only. It does not make treatment decisions. All information from the app will be reviewed by oncologists and pharmacists to ensure participant safety.

Conditions

• Breast Cancer
• Breast Neoplasm
• Chemotherapy-Related Toxicities
• Medication Adherence
• Quality of Life in Cancer Patients
• Accuracy of AI App
• Symptom Management

Interventions

BEHAVIORAL

AI-Based Mobile Application for Personalized Chemotherapy Support

The intervention is an Arabic-language mobile application powered by artificial intelligence (AI) designed to provide personalized chemotherapy support for women with breast cancer. The app assists participants by monitoring symptoms, sending medication adherence reminders, and offering educational content on managing side effects and improving treatment understanding. It uses a conversational interface based on natural language processing (NLP) to communicate with users. Participants are asked to use the app daily for 12 weeks while receiving chemotherapy. A human-in-the-loop system ensures oncologists and pharmacists review AI-generated advice for accuracy and safety.

OTHER

Usual Care

Standard oncology care provided by the hospital team, including chemotherapy administration, routine follow-up, and patient education according to local protocols.

Sponsors & Collaborators

• Baghdad Medical City

  collaborator OTHER

• Dena h. Al-Tameemi

  lead OTHER

Principal Investigators

• Samer Imad Mohammed, Assistant Prof · University of Baghdad-College of Pharmacy

Study Design

Allocation

RANDOMIZED

Purpose

SUPPORTIVE_CARE

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

FEMALE

Healthy Volunteers

No

Timeline & Regulatory

Start

2026-05-31

Primary Completion

2026-07-31

Completion

2026-10-31

Countries

• Iraq

Study Locations