سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / International Conference on Artificial Intelligence; City, Industry and Health

Smart Access: Artificial Intelligence-Enhanced Vein Assessment for Improved Peripheral Intravenous Catheter Placement in Pediatric Oncology- A Conceptual Design

نویسندگان :

Faridokht Yazdani¹

1- Nursing and Midwifery Sciences Development Research Center, Na.C., Islamic Azad University, Najafabad, Iran

کلمات کلیدی :

Artificial intelligence،multimodal imaging،pediatric oncology،personalized medicine،peripheral intravenous catheter placement

چکیده :

Peripheral intravenous catheter (PIVC) placement in pediatric oncology patients is a challenging procedure due to anatomical and physiological complexities, leading to high failure rates, patient distress, and procedural delays. This conceptual study introduces "Smart Access," an Artificial Intelligence (AI)-enhanced vein assessment system designed to improve PIVC placement success rates through predictive analytics and multimodal imaging integration. The system leverages machine learning algorithms trained on pediatric venous anatomy datasets to identify optimal vein sites with high precision, combining ultrasound and infrared imaging for comprehensive visualization. Additionally, its adaptive learning capabilities refine recommendations based on clinical feedback, ensuring personalized care for diverse patient profiles. By reducing procedural variability, enhancing clinician confidence, and minimizing patient discomfort, "Smart Access" aligns with the principles of patient-centered care and procedural efficiency. While the proposed framework demonstrates significant potential, future research must focus on prototype development, clinical validation, and addressing challenges related to data availability, cost optimization, and workflow integration. This study highlights the transformative potential of AI-driven solutions in procedural medicine and sets a foundation for advancing PIVC placement standards in pediatric oncology.