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Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Furthermore, Li et al [64] have developed a more improved Faster R-CNN based on CNN for TN detection. However, given the vastness and complexity of biomedical data, it is crucial to conduct rigorous testing on it [65]. After carefully selecting studies on related topics, it is found that ML algorithms exhibit excellent performance in medical image–based segmentation and detection of TN, demonstrating comparable or even superior performance to human clinicians.

Jiayu Ni, Yue You, Xiaohe Wu, Xueke Chen, Jiaying Wang, Yuan Li

J Med Internet Res 2025;27:e73516

The Effectiveness of Wearable Electronic Device System–Supported Physical Activity Programs for Cancer Survivors: Meta-Analysis of Randomized Controlled Trials

The Effectiveness of Wearable Electronic Device System–Supported Physical Activity Programs for Cancer Survivors: Meta-Analysis of Randomized Controlled Trials

For example, both Li et al [36] and Su et al [37] reported that the effectiveness of internet-based digital health interventions differed across different subgroups based on the format or duration of the intervention. Moreover, previous studies have consistently overlooked the role of partnering tools, and no researcher has investigated which types of partnering tools may better integrate with WEDs to enhance their effectiveness.

Zezhang Wang, Yunhuan Li, Qian Wang, Yonglin Su

J Med Internet Res 2025;27:e74347