Development and application of AI enabled automated drug delivery system for TACE guided by DSA

Tianming Du; Yin Xiong; Yalian Yu; Yi Wang; Yukang Li; Yan Huang; Xin Xiang; Bin Fu; Chen Li; Hongbo Wang; Meng Niu

doi:10.59717/j.xinn-oncol.2026.100009

The Innovation Oncology > 2026 Vol. 1 > No. 1 > 100009

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Development and application of AI enabled automated drug delivery system for TACE guided by DSA

1.
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, China
2.
Department of Interventional Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China
3.
Department of Otorhinolaryngology, The First Affiliated Hospital of China Medical University, Shenyang 110801, China
4.
Neusoft Medical Systems Co., Ltd, Shenyang 110179, China
5.
These authors contributed equally

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Corresponding authors: lichen@bmie.neu.edu.cn (C.L.); sj_wanghb@163.com (H.W.); niumeng@cmu.edu.cn (M.N.)
Received Date: April 21, 2026

Accepted Date: April 22, 2026

Published Online: April 25, 2026

The Innovation Oncology 1(1), https://doi.org/10.59717/j.xinn-oncol.2026.100009 | Cite this article

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PUBLIC SUMMARY

PUBLIC SUMMARY
1. We developed an intelligent drug delivery system to enhance safety and precision in liver cancer therapy.
  
  It enables automated drug delivery control through real-time imaging monitoring.
  
  The system detects blood flow changes and adjusts dosing to reduce drug reflux.
  
  Results show more stable injection, faster response, and strong adaptability.
  
  It may reduce radiation exposure and improve clinical treatment outcomes.

ABSTRACT

ABSTRACT

Transarterial chemoembolization (TACE) is an important treatment modality for unresectable hepatocellular carcinoma. Real-time monitoring of drug injection and reflux during the procedure is a critical factor influencing both therapeutic efficacy and radiation dose exposure for interventional radiologists. However, existing automatic injection devices lack high-dimensional, real-time closed-loop feedback. To overcome these limitations, we developed AI-FlowTACE, an intelligent drug delivery system that integrates real-time monitoring, adaptive dynamic flow regulation, and precision braking control. AI-FlowTACE can be seamlessly incorporated into clinical workflows to acquire intraoperative DSA images in real time. By analyzing imaging feedback through an embedded Artificial Intelligence (AI) module, the system autonomously guides the injector to achieve adaptive drug delivery. The model architecture achieved segmentation AUCs of 98.15% and 97.23% in two external validation cohorts. In an in vitro simulated vascular model, AI-FlowTACE demonstrated markedly more stable injection performance than manual administration, with the cumulative error consistently maintained within 0.02 mL. In three highly sensitive rabbit blood-flow models, the system achieved drug-adjustment response times of 0.83 s, 0.70 s, and 0.82 s, respectively. In in vivo experiments using a porcine model with human-like vascular anatomy, the response time was 0.8 s, indicating excellent adaptability and feasibility. Furthermore, in real TACE procedures, simulated comparisons with manual injection further validated the system’s adaptive reflux-adjustment capability, while demonstrating a 20% reduction in additional radiation exposure.
- DSA /
- TACE /
- automated drug delivery /
- Intelligent infusion pump

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Du T., Xiong Y., Yu Y., et al. (2026). Development and application of AI enabled automated drug delivery system for TACE guided by DSA. The Innovation Oncology 1:100009. https://doi.org/10.59717/j.xinn-oncol.2026.100009

Du T., Xiong Y., Yu Y., et al. (2026). Development and application of AI enabled automated drug delivery system for TACE guided by DSA. The Innovation Oncology 1:100009. https://doi.org/10.59717/j.xinn-oncol.2026.100009

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Development and application of AI enabled automated drug delivery system for TACE guided by DSA

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