Clinical Research Directory

Accuracy of AI Assisted Surgical Guide (AISG)

The purpose of this study is to evaluate and compare the accuracy of conventional static surgical guide and AI-assisted static surgical guide in implant placement in the esthetic zone of partially edentulous maxilla , This study will be carried out on patients seeking implant placement in partially edentulous esthetic zone of maxilla, selected from those who were referred to outpatient clinic of the department of oral and maxillofacial surgery, Faculty of Dentistry, Suez Canal University. The main research question is assessing what the difference is upon using AI-assisted surgical guide in terms of the accuracy of implant angular and linear deviation, and implant depth. The expected outcome is that The use of AI-assisted surgical guide in implant placement may provide higher accuracy and less deviation than the conventional static surgical guide. This clinical study will be conducted on 20 surgical guides for placement of 20 implants, divided into 2 groups: Group 1: 10 conventional computer-guided static guides for placement of 10 implants (as control group) Group 2: 10 AI-assisted static surgical guides for placement of 10 implants (as study group) The selected patients will get a pre operative CBCT scan and an intraoral scan then the guide design and generation will be performed using conventional software or AI integrated software according to randomization chart generated by "www.randomizer.org", and after the surgery of implant placement through the prefabricated guides the patients will get an immediate post operative CBCT scan.

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

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.