Publications by authors named "Shi-Yi Lei"
[Research progress on the diagnosis of pediatric heart failure].
Zhongguo Dang Dai Er Ke Za Zhi
January 2025
Heart failure is a complex clinical syndrome and pediatric heart failure (PHF) has a high mortality rate. Early diagnosis is crucial for treatment and management of PHF. In clinical practice, various tests and examinations play a key role in the diagnosis of PHF, including continuously updated biomarkers, echocardiography, and cardiac magnetic resonance imaging.
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- Most existing research on thyroid nodules has focused on diagnostic processes using artificial intelligence (AI), with few studies evaluating AI's detection performance.
- This study examined the effectiveness of a real-time AI system in detecting thyroid nodules by comparing its performance with radiologists of varying experience levels and identified factors that impact detection accuracy.
- Results showed that while the AI outperformed a junior radiologist, it was not as effective as a senior radiologist; however, combining AI with radiologists significantly improved detection rates, highlighting AI's potential as an effective support tool in clinical settings.
Background: Clinical appearance and high-frequency ultrasound (HFUS) are indispensable for diagnosing skin diseases by providing internal and external information. However, their complex combination brings challenges for primary care physicians and dermatologists. Thus, we developed a deep multimodal fusion network (DMFN) model combining analysis of clinical close-up and HFUS images for binary and multiclass classification in skin diseases.
View Article and Find Full Text PDFBackground: Identifying patients with clinically significant prostate cancer (csPCa) before biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic performance of traditional transrectal ultrasound (TRUS) for csPCa is relatively limited. This study was aimed to develop a high-performance convolutional neural network (CNN) model (P-Net) based on a TRUS video of the entire prostate and investigate its efficacy in identifying csPCa.
View Article and Find Full Text PDFIdentification of benign and malignant thyroid nodules based on dynamic AI ultrasound intelligent auxiliary diagnosis system.
Front Endocrinol (Lausanne)
October 2022
Background: Dynamic artificial intelligence (AI) ultrasound intelligent auxiliary diagnosis system (Dynamic AI) is a joint application of AI technology and medical imaging data, which can perform a real-time synchronous dynamic analysis of nodules. The aim of this study is to investigate the value of dynamic AI in differentiating benign and malignant thyroid nodules and its guiding significance for treatment strategies.
Methods: The data of 607 patients with 1007 thyroid nodules who underwent surgical treatment were reviewed and analyzed, retrospectively.