Why Do AI Large Models Fail to Adapt in Grassroots Hospitals? Exploring the Reasons Behind the Issue!
In the first half of 2025, a grassroots hospital in the Beijing-Tianjin-Hebei region introduced a medical large model system, aiming to improve the efficiency of electronic medical record generation and assist in diagnosis. However, the actual application results were unsatisfactory, even causing negative effects. The main reason was that the model struggled to accurately recognize local dialects, leading to errors in medical records and affecting the effectiveness of diagnostic assistance.
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