人工智能模型改善了慢性肾脏疾病进展到末期肾脏疾病的预测
2025-09-09 14:25:26
Researchers at Carnegie Mellon University developed a framework using machine learning and deep learning models alongside explainable AI to predict the progression of chronic kidney disease (CKD) to end-stage renal disease (ESRD).By integrating clinical and claims data, the study improved prediction accuracy compared to single-source models, optimizing outcomes with a 24-month observation window.这项工作强调了在CKD管理中进行早期检测和针对性干预措施的潜力,从而降低了医疗保健差异和成本。但是,局限性包括依赖单一机构数据和电子健康记录中的观察性偏见。