AI Empowered Pancreatic Surgery | Dashi Jiuxin Showcases at CAP 2026

From June 5 to 7, the 2026 Annual Conference of the Chinese Association of Pancreatology (CAP) was held in Shanghai. As a supporting unit of the conference, Dashi Jiuxin was invited to attend, where it joined domestic experts and peers in pancreatic diseases to discuss disciplinary advancement and smart operating room development.

As a service provider of lean smart operating‑room operation solutions, Dashi Jiuxin consistently leverages information technology to boost surgical efficiency and clinical quality, facilitating high‑quality hospital development. At the Pancreatic Disease Nursing Session on June 6, Wang Xiaoning, Executive Director of the Nursing Management Committee and Head Nurse of Operating Rooms at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, delivered a keynote presentation entitled Smart Operating‑Room Construction and Management: How Information Technology Empowers Pancreatic Surgery. She conducted in‑depth discussions on AI‑driven quality analysis of intraoperative collaboration for pancreatic procedures.

Director Wang Xiaoning pointed out that surgical safety in pancreatic surgery relies not only on surgeons’ operative skills but also on precise teamwork at critical junctures. Conventionally, quality of intraoperative collaboration is mostly evaluated by experience and post‑hoc review, lacking objective quantification and continuous tracking. This clinical pain point aligns closely with Dashi Jiuxin’s philosophy of pursuing smart surgical quality control and data‑driven improvement, and constitutes the core starting point for the joint development of the AI‑based intelligent agent platform for intraoperative surgical quality control.

For high‑complexity pancreatic surgery scenarios, Dashi Jiuxin’s AI platform adopts AI vision and motion‑capture technologies. It perceives real‑time intraoperative hand trajectories of medical staff, instrument hand‑offs, execution of key procedural steps and team‑collaboration rhythms. Tacit operational standards and teamwork dynamics are converted into computable, analyzable structured data. A digital timeline of the surgical workflow is reconstructed, enabling quantitative assessment covering standardization, efficiency and procedural completeness.

During the presentation, Director Wang Xiaoning focused on the correlation between intraoperative collaboration quality and surgical complications. Powered by the AI platform, abnormal movements, instrument‑hand‑off delays and procedural deviations in high‑risk phases such as pancreaticojejunostomy and vascular dissection can be accurately identified, with potential risks alerted in advance. This delivers a new dimension for complication prediction and quality improvement. The multi‑dimensional evaluation system for intraoperative collaboration co‑developed by both parties assesses not only task completion but also operation timing, pathway efficiency and team synergy, shifting surgical quality control from “experience‑based judgment” to “data‑driven decision‑making”.

Dashi Jiuxin’s AI intelligent agent platform for intraoperative surgical quality control supports real‑time alerts during individual surgeries as well as post‑operative debriefing. It further accumulates benchmark datasets, expert operative approaches and specialty‑specific protocols to furnish objective evidence for clinical training and assessment. Meanwhile, it supplies data support for hospital smart operating‑room deployment, specialty evaluation and hospital accreditation, facilitates research linking surgical quality to patient outcomes, and injects new momentum into the advancement of pancreatic surgery.

From “observing movements” to “understanding team collaboration”, and from “one‑off post‑surgery review” to “continuous quality improvement”, Dashi Jiuxin keeps its feet firmly planted in clinical practice, responds to front‑line medical demands and iterates product solutions persistently. Going forward, we will deepen collaboration with clinical specialists to truly integrate AI into quality management for complex surgical procedures. With safer, more sophisticated smart operating‑room solutions, we will empower the high‑quality development of healthcare in China.