摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-药物和治疗的新研究-个性化医疗是一篇报道的主题。根据《新闻日报》记者在徐州的新闻报道，研究表明：“开发一种结合临床、放射学和深度学习特征的预测模型。”基于x线和MRI的leg-calve-perthes早期股骨头畸形危险因素疾病(LCPD)。这项研究涉及两个中心的152名早期单侧LCPD患者2013年1月至2023年12月期间，包括一个独立的外部验证集，以评估普遍性"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news reporting or iginating in Xuzhou, People’s Republic of China, by NewsRx journalists,research stated, “To develop a predictive model combining clinical, radiomic, and deep l earning featuresbased on X-ray and MRI to identify risk factors for early femor al head deformity in Legg-Calve-Perthesdisease (LCPD). This study involved 152 patients diagnosed with early unilateral LCPD across two centersbetween January 2013 and December 2023, and included an independent external validation set to assessgeneralizability.”
NETL
NSTL