Reinforcement learning to optimize tuberculosis screening strategies in resource-limited settings [0.03%]
利用强化学习优化资源匮乏地区的结核病筛查策略
Prakash Nandkumar Kalavadekar,Kiran Ramesh Khandarkar,Dhanraj R Dhotre et al.
Prakash Nandkumar Kalavadekar et al.
Still, tuberculosis (TB) is a big health problem all over the world. It is very hard to find cases quickly in places that don't have many resources or fair access to care. Screening methods from the past, such as x-rays, symptom-based asses...
Harnessing semi-supervised graph-based learning to advance automated bacilli detection in digital tuberculosis microscopy with limited expert annotations [0.03%]
利用半监督图学习方法在专家标注数据稀缺的情况下推进结核病数字显微镜下的分枝杆菌自动化检测技术
Pragati Pandit,Sanjay Thorat,Shilpy Singh et al.
Pragati Pandit et al.
Automated acid-fast bacilli (AFB) detection with digital microscopy is important for the improvement of tuberculosis diagnosis in communities or populations where expert annotations are not available. In this paper, we propose a semi-superv...
Hierarchical taxonomy-aware modeling for granular drug resistance and disease outcome prediction in multimodal tuberculosis cohorts [0.03%]
面向多模态结核病队列的分层层级分类意识建模以进行细化药物抗性及疾病结果预测
Jambi Ratna Raja Kumar,Laxmi Bewoor,Kalyani Kadam et al.
Jambi Ratna Raja Kumar et al.
Tuberculosis is a disease with many phenotypes, complicated by the hierarchical clinical taxonomies of drug resistance that are not typically leveraged in existing predictive modeling. We developed a taxonomy-driven, hierarchical classifica...
Enabling real-time tuberculosis detection in hospital radiology through scalable actor-learner architectures for distributed deep reinforcement learning [0.03%]
基于分布式深度强化学习的可扩展演员-学员架构在医院放射科实现实时检测肺结核
Poonam Chaudhary,Shweta Bandhekar,Padmakant Umakant Dhage et al.
Poonam Chaudhary et al.
The increasing demand for timely tuberculosis detection in hospital radiology necessitates scalable and efficient automated screening solutions. This study presents a novel application of the IMPALA distributed deep reinforcement learning a...
Cross-domain generative translation of cough audio biomarkers for tuberculosis screening across diverse global populations [0.03%]
跨域生成性翻译咳嗽生物标志物音频表征以筛查全球各地的人群中的结核病
Mukul Pande,Aparna Patange,Sameer Rastogi et al.
Mukul Pande et al.
Accurate and equitable tuberculosis (TB) screening using cough audio biomarkers is challenged by domain shifts arising from heterogeneous recording environments, devices, and subject demographics. This study addresses these challenges by le...
Leveraging transfer learning techniques for automated tuberculosis classification on chest X-rays [0.03%]
迁移学习技术在胸部X光片自动分类中的应用研究
Kalyani P Karule,Vinod Sapkal,Gayatri Mirajkar et al.
Kalyani P Karule et al.
Tuberculosis (TB) is one of the major community-health challenges, particularly in underdeveloped and middle-income sets where there is a low maximum in diagnostic areas. Proper management depends on timely and correct detection thus enabli...
Convolutional neural networks for automated tuberculosis detection in chest X-ray screening programs [0.03%]
卷积神经网络在胸部X线结核筛查中的应用研究
Suresh Singh Rajpurohit,Vaishali A Shirsath,Thaksen Parvat et al.
Suresh Singh Rajpurohit et al.
Tuberculosis remains a leading cause of morbidity worldwide, particularly in resource-constrained regions where radiological expertise is scarce. Chest X-ray screening is a cost-effective method for population-level TB detection, yet subtle...
Vision transformer-enabled chest CT analysis for enhanced tuberculosis diagnosis in clinical settings [0.03%]
基于视觉变换器的胸部CT分析在临床环境中可提升结核病诊断性能
Jyoti L Bangare,Nilofer Kittad,Sulakshana Nagpurkar
Jyoti L Bangare
Tuberculosis (TB) remains a leading cause of illness and mortality worldwide, particularly in resource-constrained regions where timely diagnosis is critical for effective treatment. Chest computed tomography (CT) offers detailed visualizat...
Integrating machine learning models to assess the combined risk of diabetes and tuberculosis in populations [0.03%]
集成机器学习模型评估人群糖尿病和结核病的联合风险
Nitinkumar Marotrao Waghmare,Bharti Jagdale,Rahul Bhagwat Mapari et al.
Nitinkumar Marotrao Waghmare et al.
Having both diabetes and tuberculosis (TB) at the same time is a big public health problem because they affect each other in two ways: they make people more likely to get the diseases and they make the diseases worse. Active tuberculosis is...
Artificial intelligence based modulation in diagnosis and management of tuberculosis [0.03%]
基于人工智能的诊断和管理结核病调制研究
V K Arora,Sanjay Rajpal,Ankita Anand
V K Arora