Sinai山的人工智能预测了伊斯兰法院联盟病人早期的营养风险,有助于及时采取干预措施。 Mount Sinai's AI predicts nutrition risks in ICU patients early, aiding timely interventions.

Sinai山开发的一个新的AI模式旨在早先查明伊斯兰法院联盟病人的营养风险,通过及时采取营养干预措施有可能改善结果。 A new AI model developed by Mount Sinai aims to identify nutrition risks in ICU patients earlier, potentially improving outcomes by enabling timely nutritional interventions. 该系统分析病人数据,以预测营养不足的风险,这是关键护理的一个常见问题,可延长恢复时间。 The system analyzes patient data to predict those at risk of inadequate nutrition, a common issue in critical care that can prolong recovery. 早期结果显示,该工具可加强临床决策,尽管进一步的验证工作正在进行中。 Early results suggest the tool enhances clinical decision-making, though further validation is ongoing.