在南方医院，临床医生开始「造」AI工具

TL;DR - Southern Hospital and Huawei deployed the HAIP platform, enabling clinicians to build no-code AI agents from natural-language descriptions of clinical workflows. Early prototypes target rare-disease diagnosis, emergency simulation training, and end-to-end liver cancer management while retaining physician oversight.

• Nexent’s visual agent platform turns clinicians’ rules and uploaded knowledge into prototypes without programming; one aHUS screening team built its initial system in ten days.
• The aHUS workflow coordinates data retrieval, staged differential diagnosis, multi-specialty agents, dispute arbitration, and physician review to accelerate fragmented clinical-information synthesis.
• An obstetric training agent generates cases, simulates time-dependent deterioration through clinician-defined state-machine rules, and produces debrief drafts in about four seconds.
• Eleven cooperating agents support liver cancer MDT workflows across data preparation, guideline-based recommendations, quality control, follow-up, and alerts; outputs remain subject to expert approval.