Publications by authors named "Huike Wang"

Clinicians face increasing workloads in medical imaging interpretation, and artificial intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI collaboration on image interpretation workload. Four databases were searched for studies comparing reading time or quantity for image-based disease detection before and after AI integration.

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Objective: The value of the transformation zone (TZ) is often overlooked in clinical settings. This study aims to assess TZ distribution, associated factors, and its impact on colposcopic diagnosis.

Methods: χ 2 tests were used to analyze demographics, clinical history, and tissue samples to examine the differences in TZ distribution.

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Objective: The objective of this study was to assess the attitudes toward the Colposcopic Artificial Intelligence Auxiliary Diagnostic System (CAIADS) of colposcopists working in mainland China.

Methods: A questionnaire was developed to collect participants' sociodemographic information and assess their awareness, attitudes, and acceptance toward the CAIADS.

Results: There were 284 respondents from 24 provinces across mainland China, with 55% working in primary care institutions.

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Article Synopsis
  • Melanoma poses a significant health risk, and early detection is crucial for effective treatment; deep learning (DL) technology shows promise in diagnosing melanoma through imaging.
  • A systematic review of studies from various medical databases evaluated the performance of DL algorithms and their comparisons with dermatologists, using specific diagnostic metrics.
  • Results indicate that DL algorithms achieve high diagnostic accuracy closely matching senior dermatologists, highlighting the potential for collaboration between AI and medical professionals in improving melanoma detection.
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The risk associated with single and multiple human papillomavirus (HPV) infections in cervical intraepithelial neoplasia (CIN) remains uncertain. This study aims to explore the distribution and diagnostic significance of the number of high-risk HPV (hr-HPV) infections in detecting CIN, addressing a crucial gap in our understanding. This comprehensive multicenter, retrospective study meticulously analyzed the distribution of single and multiple hr-HPV, the risk of CIN2+, the relationship with CIN, and the impact on the diagnostic performance of colposcopy using demographic information, clinical histories, and tissue samples.

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Purpose: Radiation injury (RI) is a common occurrence in malignant tumors patients receiving radiation therapy. While killing tumor cells, normal tissue surrounding the target area is inevitably irradiated at a certain dose, which can cause varying results of radiation injury. Currently, there are limited clinical treatments available for radiation injuries.

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Background: Colposcopy plays an essential role in diagnosing cervical lesions and directing biopsy; however, there are few studies of the capabilities of colposcopists in medically underserved communities in China. This study aims to fill this gap by assessing colposcopists' competencies in medically underserved communities of China.

Methods: Colposcopists in medically underserved communities across China were considered eligible to participate.

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To investigate age and type-specific prevalences of high-risk human papillomavirus (hrHPV) and cervical intraepithelial neoplasia (CIN) in hrHPV+ women referred to colposcopy. This is a retrospective, multicenter study. Participants were women referred to one of seven colposcopy clinics in China after testing positive for hrHPV.

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There is no strong evidence indicating the optimal treatment for breast cancer (BC) and no specific prognostic model. The aim of this study was to establish nomograms to predict the overall survival (OS) of BC patients receiving chemoradiotherapy and surgery, thereby quantifying survival benefits and improving patient management. A total of 1877 patients with primary nonmetastatic BC who received chemoradiotherapy and surgery from 2010 to 2019 were identified from the Surveillance, Epidemiology and End Results (SEER) database as the training cohort, 804 as the internal validation cohort, and 796 patients from the First Affiliated Hospital of Zhengzhou University (n=324) and Jiaxing Maternal and Child Health Hospital (n=472) as the external validation cohort.

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Background: Colposcopy is a cornerstone of cervical cancer prevention; however, there is a global shortage of colposcopists. It is challenging to train a sufficient number of colposcopists through in-person methods, which hinders our ability to adequately diagnose and manage positive cases. A digital platform is needed to make colposcopy training more efficient, scalable, and sustainable; however, current online training programs are generally based on didactic curricula that do not incorporate image analysis training.

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Article Synopsis
  • Neoadjuvant immunochemotherapy (nICT) is being researched as a treatment for locally advanced esophageal squamous cell carcinoma (LA-ESCC), with a focus on developing a new predictor called the systemic inflammation-tumor markers index (SITI) to assess treatment response.
  • A study involving 147 LA-ESCC patients undergoing nICT found that 27.9% achieved a pathological complete response (pCR), and key inflammatory markers were identified to create the SITI.
  • The SITI demonstrated strong predictive ability for pCR, and the associated nomogram is the first of its kind to use these markers, potentially improving how patient responses to nICT are evaluated.
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  • The study investigates how preoperative inflammatory blood markers affect long-term survival in patients with esophageal cancer (EC), aiming to create predictive models for overall and progression-free survival.
  • A total of 508 EC patients were analyzed, with data split into training and validation cohorts, using various statistical methods to develop nomogram models and assess their accuracy against traditional methods.
  • Results showed that nomograms incorporating 10 key variables, including systemic inflammation markers, could effectively predict patient survival outcomes, highlighting the importance of inflammation in cancer prognosis.
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Factor market distortion is a critical factor that affects environmental pollution, and technological innovation is regarded as a new opportunity to alleviate environmental pollution. Based on panel data from 30 Chinese provinces from 2003 to 2019, this study constructs an intermediary effect model to test the influence mechanism of factor market distortion on regional environmental pollution and the intermediary effect of technological innovation, exploring these effects based on spatial differentiation characteristics. This study shows that factor market distortion protects industries with backward production capacity, high resource consumption, serious pollution, and low production efficiency from elimination; hinders the transformation and upgrading of the regional industrial structure; and forms a lock in the sloppy growth mode, which directly affects the improvement of regional environmental quality.

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Article Synopsis
  • Oxidative dispersion is a key process for regenerating sintered metal catalysts and creating single atom catalysts, driven by an oxidation-induced dispersion mechanism.
  • New research reveals that the interaction between gas, metal, and support during this process, especially gas-metal interactions, is not fully understood.
  • The study introduces an adsorption-induced dispersion mechanism, demonstrating that strong chemical interactions between oxygen and silver nanoclusters facilitate dispersion under various conditions, providing insights that could apply to other metal catalysts as well.
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MXene, a new class of two-dimensional materials, offers a unique combination of metallic conductivity and hydrophilicity. This material has shown great promise in numerous applications including electromagnetic interference shielding, sensing, energy storage, and catalysis. In this paper, we report on the fabrication of transparent, conductive, and flexible MXene/silver nanowire (AgNW) hybrid films, resulting in the highest figure of merit (162.

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The development of wearable strain sensors with simultaneous large stretchability (strain >55%) and high sensitivity (gauge factor >100) remains a grand challenge to this day. Drawing on inspiration from nature, nacre has demonstrated outstanding mechanical properties, especially combining high strength and toughness, which is due in part to its delicate hierarchical layered architecture with rich interfacial interactions. We demonstrate that strain sensors based on this nacre-mimetic microscale "brick-and-mortar" architecture can simultaneously achieve ultrahigh sensitivity and large stretchability while performing well in linearity, reliability, long-term durability, and monotonicity.

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Eu3+ ions doped Sr3Al2O6 phosphors were successfully synthesized via a hydrothermal method. The precursor was prepared by low temperature hydrothermal method using ammonia as both alkaline source and precipitator. Then the final product was obtained by high temperature sintering.

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