At Nanfang Hospital, Clinicians Begin 'Building' AI Tools

Nephrologists at Nanfang Hospital are attempting to introduce AI technology into the clinical frontline, focusing on solving the problems of rare disease identification and time-consuming multi-department information integration. Taking atypical hemolytic uremic syndrome (aHUS) as an example, the disease has a high mortality rate during the acute phase and an effective intervention window of only 24 to 48 hours. The traditional cross-department diagnosis process often struggles to meet these time requirements.

Clinicians personally participating in the construction of AI tools means that medical AI development is shifting from purely technology-driven to clinically scenario-driven. Doctors best understand diagnostic pain points and data logic; tools designed under their leadership are more likely to fit actual workflows, promising to shorten the cycle from symptom onset to precise medication and reduce irreversible organ damage.

This trend also reflects that the implementation paths of large models and agent technologies in the medical field are being refined. Compared to general medical AI, small intelligent tools targeting specific rare diseases and specific department workflows may enter the clinical practical stage more quickly, providing decision support for primary hospitals and complex cases.

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