Vincenzo Venerito
Vincenzo Venerito
Machine learning vs human experts: sacroiliitis analysis from the RAPID-axSpA and C-OPTIMISE phase 3 axSpA trials [0.03%]
机器学习与人类专家对比：来自RAPID-axSpA和C-OPTIMISE第3期银屑病关节炎试验的骶髂炎分析
Fabian Proft,Janis L Vahldiek,Joeri Nicolaes et al.
Fabian Proft et al.
Objective: Diagnosis of axial spondyloarthritis (axSpA) is primarily established through the identification of the presence or absence of radiographic sacroiliitis. However, the reliability of conventional radiographs (X-...
Ethical challenges and regulatory pathways for artificial intelligence in rheumatology [0.03%]
风湿病学中人工智能的伦理挑战和监管途径
Vincenzo Venerito,Latika Gupta,Saverio Mileto et al.
Vincenzo Venerito et al.
AI for imaging evaluation in rheumatology: applications of radiomics and computer vision-current status, future prospects and potential challenges [0.03%]
风湿病影像评估的人工智能：放射组学和计算机视觉的应用现状、未来前景及潜在挑战
Lina Xu,Keno Bressem,Lisa Adams et al.
Lina Xu et al.
Inflammatory rheumatic diseases, a diverse group of immune-mediated conditions, are characterized by chronic inflammation that can lead to irreversible damage to joints, bones and organs, posing a significant global health challenge. If lef...
Disease burden in inflammatory arthritis: an unsupervised machine learning approach of the COVAD-2 e-survey dataset [0.03%]
利用COVAD-2电子调查数据集对炎症性关节炎疾病负担进行无监督机器学习分析
Vincenzo Venerito,Sergio Del Vescovo,Sergio Prieto-González et al.
Vincenzo Venerito et al.
Objectives: To comprehensively compare the disease burden among patients with RA, PsA and AS using Patient-Reported Outcome Measurement Information System (PROMIS) scores and to identify distinct patient clusters based on...
Improving efficiency of a rheumatology outpatient clinic through classification of newly referred patients [0.03%]
通过分类新转诊患者提高风湿病门诊效率
Sander Dijkstra,Yaël A de Man,Aleida Braaksma et al.
Sander Dijkstra et al.
Objectives: Diagnosing a rheumatological disease in patients newly referred by their general practitioner requires assessment by a rheumatologist and often diagnostic tests. Ideally, these tests are performed prior to the...
Predicting EQ-5D full health state in systemic lupus erythematosus using machine learning algorithms [0.03%]
使用机器学习算法预测系统性红斑狼疮患者的EQ-5D完全健康状态
João Botto,Nursen Cetrez,Dionysis Nikolopoulos et al.
João Botto et al.
Objectives: To determine factors associated with reports of EuroQol 5-Dimensions (EQ-5D) full health state (FHS) before and after a trial intervention in patients with SLE, resorting to machine learning algorithms. ...
Diego Benavent,Alfredo Madrid-García
Diego Benavent
The last 2 years have marked the beginning of a golden age for natural language processing in medicine. The arrival of large language models (LLMs) and multimodal models have raised new opportunities and challenges for research and clinical...
Single-camera motion capture of finger joint mobility as a digital biomarker for disease activity in rheumatoid arthritis [0.03%]
基于单目相机的关节活动度手指运动捕捉作为类风湿性关节炎疾病活动性的数字生物标志物
Vincenzo Venerito,Tobias Manigold,Marco Capodiferro et al.
Vincenzo Venerito et al.
Objective: To investigate the association between hand motion tracking features obtained through computer vision from smartphone cameras and disease activity in patients with RA. ...
Ustekinumab merits further exploration in Takayasu arteritis despite a failed randomized controlled trial [0.03%]
乌斯替单抗治疗塔克泰斯动脉炎疗效欠佳但仍值得进一步探索
Durga Prasanna Misra
Durga Prasanna Misra