在临床中，区分睾丸病变的良恶性对治疗意义重大。研究人员开展了基于 MRI 的自动机器学习（AutoML）诊断睾丸病变的研究。他们利用树状管道优化工具（TPOT）算法构建模型，结果显示该模型能有效鉴别睾丸良恶性病变，为临床诊断提供了新方法。 在男性健康 ...

为解决退行性颈椎脊髓病（DCM）诊断中颈椎管狭窄（CCS）预测模型训练队列小、架构单一等问题，研究人员开展基于深度学习从矢状位 T2 加权 MRI 预测 CCS 的研究。结果显示集成模型 AUC 达 0.96 ，该研究为 DCM 诊断提供了更可靠的方法 812 。

The following is a summary of "Early prediction of progression-free survival of patients with locally advanced nasopharyngeal ...

Prostate zonal anatomy is best demonstrated with MRI. On T2-weighted sequences, the normal prostate can be divided into the peripheral zone, which shows high signal intensity owing to its high ...

4 NHMRC Centre of Clinical Research Excellence in Spinal Pain, Injury and Health, The University of Queensland, Brisbane, Queensland, Australia Correspondence to Professor Bill Vicenzino, School of ...