Zhenhong Hu
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View article: Prolonged survival of thoracic SMARCA4-deficient undifferentiated tumor with immune-related cystitis: a case report and literature review
Prolonged survival of thoracic SMARCA4-deficient undifferentiated tumor with immune-related cystitis: a case report and literature review Open
Thoracic SMARCA4-deficient undifferentiated tumor (SMARCA4-UT), as a rare and highly malignant neoplasm associated with a high mortality risk, is easily confused with SMARCA4-deficient nonsmall-cell lung cancer (NSCLC). To date, no standar…
View article: Anoikis-related biomarkers PARP1 and SDCBP as diagnostic and therapeutic targets for asthma
Anoikis-related biomarkers PARP1 and SDCBP as diagnostic and therapeutic targets for asthma Open
View article: Outpatient follow-up of stroke patients: A systematic review
Outpatient follow-up of stroke patients: A systematic review Open
Objective: To summarise the best evidence of outpatient follow-up of stroke patients, and to provide a reference for clinical practice. Method: The current systematic review was conducted in November 2024 in China and comprised literature …
View article: Application of deep learning to automated diagnosis of computed tomography images of pulmonary infections
Application of deep learning to automated diagnosis of computed tomography images of pulmonary infections Open
Background:Currently, clinical pathogen diagnosis primarily consists of two methods: high-throughput sequencing and traditional culture. However, considering the evident limitations in terms of time and cost associated with the diagnostic …
View article: Federated Learning for Predicting Major Postoperative Complications
Federated Learning for Predicting Major Postoperative Complications Open
Objective: To develop a robust model to accurately predict the risk of postoperative complications using clinical data from multiple institutions while ensuring data privacy. Background: Building accurate, artificial intelligence models to…
View article: Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool
Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool Open
Background: Social determinants of health (SDoH) play a crucial role in influencing health outcomes, accounting for nearly 50% of modifiable health factors and bringing to light critical disparities among disadvantaged groups. Despite the …
View article: Antimicrobial strategies of lower respiratory tract infections in immunocompromised patients based on metagenomic next-generation sequencing: a retrospective study
Antimicrobial strategies of lower respiratory tract infections in immunocompromised patients based on metagenomic next-generation sequencing: a retrospective study Open
View article: Antimicrobial strategies of Lower Respiratory Tract Infection in Immunocompromised Patients based on Metagenomic Next-Generation Sequencing:a retrospective study
Antimicrobial strategies of Lower Respiratory Tract Infection in Immunocompromised Patients based on Metagenomic Next-Generation Sequencing:a retrospective study Open
Background Immunocompromised patients with Lower Respiratory Tract Infection(LRTI) frequently encounter a diverse range of pathogenic infections, characterized by rapid disease progression and significant mortality rates due to reckless or…
View article: Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools Open
As more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical AI-enabled patient care. Despite the evolving importance of …
View article: AI for Equitable Tennis Training: Leveraging AI for Equitable and Accurate Classification of Tennis Skill Levels and Training Phases
AI for Equitable Tennis Training: Leveraging AI for Equitable and Accurate Classification of Tennis Skill Levels and Training Phases Open
Numerous studies have demonstrated the manifold benefits of tennis, such as increasing overall physical and mental health. Unfortunately, many children and youth from low-income families are unable to engage in this sport mainly due to fin…
View article: Nur77 induced by HIF-1α mediates vascular remodeling in hypoxic pulmonaryhypertension
Nur77 induced by HIF-1α mediates vascular remodeling in hypoxic pulmonaryhypertension Open
Nur77 is a member of the NR4A subfamily of orphan nuclear receptors that is expressed and has a function within the immune system. This study aimed to investigate the role of Nur77 in hypoxic pulmonary hypertension. SPF male SD rats were e…
View article: Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality
Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality Open
Gaze-based interactions offer a potential way for users to naturally engage with mixed reality (XR) interfaces. Black-box machine learning models enabled higher accuracy for gaze-based interactions. However, due to the black-box nature of …
View article: Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications Open
Given the sheer volume of surgical procedures and the significant rate of postoperative fatalities, assessing and managing surgical complications has become a critical public health concern. Existing artificial intelligence (AI) tools for …
View article: Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision Open
Modern electronic health records (EHRs) hold immense promise in tracking personalized patient health trajectories through sequential deep learning, owing to their extensive breadth, scale, and temporal granularity. Nonetheless, how to effe…
View article: Federated learning model for predicting major postoperative complications
Federated learning model for predicting major postoperative complications Open
Background: The accurate prediction of postoperative complication risk using Electronic Health Records (EHR) and artificial intelligence shows great potential. Training a robust artificial intelligence model typically requires large-scale …
View article: Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records Open
The breadth, scale, and temporal granularity of modern electronic health records (EHR) systems offers great potential for estimating personalized and contextual patient health trajectories using sequential deep learning. However, learning …
View article: The golden key to open mystery boxes of SMARCA4-deficient undifferentiated thoracic tumor: focusing immunotherapy, tumor microenvironment and epigenetic regulation
The golden key to open mystery boxes of SMARCA4-deficient undifferentiated thoracic tumor: focusing immunotherapy, tumor microenvironment and epigenetic regulation Open
View article: Comparison of Synapse 3D system (Version 4.4) and DirectPath system (Version 2.0) in virtual bronchoscopic navigation application for peripheral pulmonary nodules
Comparison of Synapse 3D system (Version 4.4) and DirectPath system (Version 2.0) in virtual bronchoscopic navigation application for peripheral pulmonary nodules Open
Background: Differences between virtual bronchoscopic navigation (VBN) systems and their impacts on the diagnostic yield of transbronchial biopsy (TBB) of peripheral pulmonary nodules (PPNs) remain unclear. Objectives: To compare the Synap…
View article: Stability Analysis of Wind Turbine Blades Based on Different Structural Models
Stability Analysis of Wind Turbine Blades Based on Different Structural Models Open
In order to better simulate the actual working conditions of wind turbines more realistically, this paper adopts the two-way fluid–structure coupling method to study the NREL 5 MW wind turbine, considering the blade coupling deformation an…
View article: Imaging the neural substrate of trigeminal neuralgia pain using deep learning
Imaging the neural substrate of trigeminal neuralgia pain using deep learning Open
Trigeminal neuralgia (TN) is a severe and disabling facial pain condition and is characterized by intermittent, severe, electric shock-like pain in one (or more) trigeminal subdivisions. This pain can be triggered by an innocuous stimulus …
View article: Symptom Burden among Older COVID-19 Survivors Two Years after Hospital Discharge
Symptom Burden among Older COVID-19 Survivors Two Years after Hospital Discharge Open
To study the long-term symptom burden among older COVID-19 survivors 2 years after hospital discharge and identify associated risk factors. The current cohort study included COVID-19 survivors aged 60 years and above, who were discharged b…
View article: Influence of Turbulence Intensity on the Aerodynamic Performance of Wind Turbines Based on the Fluid-Structure Coupling Method
Influence of Turbulence Intensity on the Aerodynamic Performance of Wind Turbines Based on the Fluid-Structure Coupling Method Open
The deformation and vibration of wind turbine blades in turbulent environment cannot be ignored; therefore, in order to better ensure the safety of wind turbine blades, the study of air-elastic response of wind turbine blades under turbule…
View article: Imaging the Neural Substrate of Trigeminal Neuralgia Pain Using Deep Learning
Imaging the Neural Substrate of Trigeminal Neuralgia Pain Using Deep Learning Open
Trigeminal neuralgia (TN) is a severe and disabling facial pain condition and is characterized by intermittent, severe, electric shock-like pain in one (or more) trigeminal subdivisions. This pain can be triggered by an innocuous stimulus …
View article: Aftereffects of frontoparietal theta tACS on verbal working memory: Behavioral and neurophysiological analysis
Aftereffects of frontoparietal theta tACS on verbal working memory: Behavioral and neurophysiological analysis Open
Verbal working memory is supported by a left-lateralized frontoparietal theta oscillatory (4-8 Hz) network. We tested whether stimulating the left frontoparietal network at theta frequency during verbal working memory can produce observabl…
View article: Study on Characteristics and Optimal Layout of Components in Shallow Water Mooring System of Floating Wind Turbine
Study on Characteristics and Optimal Layout of Components in Shallow Water Mooring System of Floating Wind Turbine Open
Offshore wind energy resources far exceed those on land. However, the increase in water depth of the continental shelf in China’s sea area slows down as the distance from the shore increases. In view of the characteristics of China’s sea, …
View article: Motion characteristics and aero-elastic responses of floating offshore wind turbine under coupling action of waves and winds
Motion characteristics and aero-elastic responses of floating offshore wind turbine under coupling action of waves and winds Open
As a complex multi degree of freedom coupling system, floating offshore wind turbine usually works in complex and changeable marine environment. The research of floating offshore wind turbine often needs to consider the coupling effect of …
View article: Research on Influence of Tank Sloshing on Ship Motion Response under Different Wavelengths
Research on Influence of Tank Sloshing on Ship Motion Response under Different Wavelengths Open
The motion of the liquid-carrying ship under waves is simultaneously affected by the external wave moment and the sloshing moment of the internal tank, which makes the motion of the ship more complicated. In order to explore the influence …
View article: Decoding the temporal dynamics of affective scene processing
Decoding the temporal dynamics of affective scene processing Open
View article: Decoding the temporal dynamics of affective scene processing
Decoding the temporal dynamics of affective scene processing Open
Natural images containing affective scenes are used extensively to investigate the neural mechanisms of visual emotion processing. Functional fMRI studies have shown that these images activate a large-scale distributed brain network that e…
View article: Aftereffects of Frontoparietal Theta tACS on Verbal Working Memory: Behavioral and Neurophysiological Analysis
Aftereffects of Frontoparietal Theta tACS on Verbal Working Memory: Behavioral and Neurophysiological Analysis Open