机器学习对子宫内膜异位症的诊断准确性:系统性审查和元分析
Bingyi Zhang1, Xiaoli Lv1, Dan Li1
1School of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Frontiers in endocrinology
|February 12, 2026
概括
机器学习 (ML) 模型在诊断子宫内膜异位症方面表现出很高的准确性,特别是在使用遗传信息和成像数据时. 这次系统审查强调了ML的ML.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 妇科 妇科医生 妇科
背景情况:
- 机器学习 (ML) 越来越多地被用于诊断子宫内膜异位症.
- 然而,关于ML对子宫内膜异位症的诊断准确性的系统证据是有限的.
研究的目的:
- 系统地审查和评估用于子宫内膜异位症的机器学习模型的诊断性能.
- 综合现有证据,关于在检测子宫内膜异位症的ML准确性.
主要方法:
- 我们对PubMed,Embase,Cochrane图书馆和Web of Science进行了全面的系统搜索.
- 包括开发用于子宫内膜异位症诊断的ML模型的研究,数据被提取并由两个独立审查员评估质量.
- 预测模型偏差风险评估工具被用于评估研究偏差.
主要成果:
- 包含了45个出版物,参与者人数从39人到612,777.7人.
- 分析显示了ML模型的强性能:临床特征的曲线下的面积 (AUC) 达到0.810 (培训) 和0.796 (验证).
- 使用遗传信息的模型实现AUC为0.982 (训练) 和0.865 (验证),而基于成像的模型显示AUC为0.979 (训练) 和0.983 (验证).
结论:
- 机器学习模型在诊断子宫内膜异位症方面表现出相当大的准确性.
- 结合遗传信息和成像特征的模型显示了特别高的诊断性能.
- 这些发现支持了ML作为内膜异位症诊断中宝贵的工具的潜力.
更多相关视频
04:34Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
1.7K
06:22Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
Published on: September 19, 2025
534
相关概念视频
Uncertainty in Measurement: Accuracy and Precision
104.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
104.7K
Improving Translational Accuracy
15.0K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.0K
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Machines
581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
A free-body diagram of the...
581
Accuracy and Precision
15.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate...
15.7K
