{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T21:03:13Z","timestamp":1765746193941,"version":"3.48.0"},"reference-count":15,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Indian Journal of Tuberculosis"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.ijtb.2025.10.009","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:00:58Z","timestamp":1761930058000},"page":"S138-S144","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"S3","title":["Enabling real-time tuberculosis detection in hospital radiology through scalable actor-learner architectures for distributed deep reinforcement learning"],"prefix":"10.1016","volume":"72","author":[{"given":"Poonam","family":"Chaudhary","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shweta","family":"Bandhekar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Padmakant Umakant","family":"Dhage","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lata","family":"Tembhare","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Preethi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prashant H.","family":"Nikhade","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.ijtb.2025.10.009_bib1","doi-asserted-by":"crossref","first-page":"130","DOI":"10.35882\/jeeemi.v7i1.572","article-title":"Intelligent tuberculosis detection system with continuous learning on X-ray images","volume":"7","author":"A'yuni","year":"2025","journal-title":"J Electron Electromedical Eng Med Inf"},{"issue":"5","key":"10.1016\/j.ijtb.2025.10.009_bib2","doi-asserted-by":"crossref","first-page":"3131","DOI":"10.1007\/s13042-024-02440-9","article-title":"A decade's overview of artificial intelligence in diagnosing: a scoping review","volume":"16","author":"Balakrishnan","year":"2025","journal-title":"Int J Mach Learn Cybern"},{"issue":"13","key":"10.1016\/j.ijtb.2025.10.009_bib3","doi-asserted-by":"crossref","DOI":"10.1007\/s11042-024-19350-1","article-title":"Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19","volume":"84","author":"Kansal","year":"2025","journal-title":"Multimed Tool Appl"},{"issue":"6 JUNE","key":"10.1016\/j.ijtb.2025.10.009_bib4","article-title":"Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria","volume":"4","author":"Garg","year":"2025","journal-title":"PLOS Digital Health"},{"issue":"6","key":"10.1016\/j.ijtb.2025.10.009_bib5","doi-asserted-by":"crossref","DOI":"10.3390\/bioengineering12060630","article-title":"Active and inactive tuberculosis classification using convolutional neural networks with MLP-mixer","volume":"12","author":"Rim","year":"2025","journal-title":"Bioengineering"},{"key":"10.1016\/j.ijtb.2025.10.009_bib6","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2024.104975","article-title":"Attention enhanced residual network for automatic pulmonary tuberculosis detection on chest radiographs images","volume":"159","author":"Liu","year":"2025","journal-title":"Digit Signal Process: A Rev J"},{"issue":"1","key":"10.1016\/j.ijtb.2025.10.009_bib7","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-97803-9","article-title":"Tuberculosis detection using few shot learning","volume":"15","author":"Riasat","year":"2025","journal-title":"Sci Rep"},{"issue":"15","key":"10.1016\/j.ijtb.2025.10.009_bib8","doi-asserted-by":"crossref","DOI":"10.1007\/s11042-024-19638-2","article-title":"A lightweight deep learning model with knowledge distillation for pulmonary diseases detection in chest X-rays","volume":"84","author":"Asham","year":"2025","journal-title":"Multimed Tool Appl"},{"key":"10.1016\/j.ijtb.2025.10.009_bib9","article-title":"Advancing tuberculosis screening: a tailored CNN approach for accurate chest X-ray analysis and practical clinical integration","volume":"11","author":"Mujeeb","year":"2025","journal-title":"Intelligence-Based Medicine"},{"issue":"1","key":"10.1016\/j.ijtb.2025.10.009_bib10","doi-asserted-by":"crossref","DOI":"10.1038\/s41746-025-01832-7","article-title":"Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs","volume":"8","author":"Munjal","year":"2025","journal-title":"npj Digit Med"},{"issue":"2","key":"10.1016\/j.ijtb.2025.10.009_bib11","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.240650","article-title":"AI applications for thoracic imaging: considerations for best practice","volume":"314","author":"Hwang","year":"2025","journal-title":"Radiology"},{"issue":"5","key":"10.1016\/j.ijtb.2025.10.009_bib12","doi-asserted-by":"crossref","first-page":"3223","DOI":"10.21037\/jtd-2025-604","article-title":"A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging","volume":"17","author":"Han","year":"2025","journal-title":"J Thorac Dis"},{"key":"10.1016\/j.ijtb.2025.10.009_bib13","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.glt.2025.02.005","article-title":"Development and evaluation of an artificial intelligence (AI) -assisted chest x-ray diagnostic system for detecting, diagnosing, and monitoring tuberculosis","volume":"7","author":"Kaewwilai","year":"2025","journal-title":"Global Transitions"},{"issue":"1","key":"10.1016\/j.ijtb.2025.10.009_bib14","doi-asserted-by":"crossref","DOI":"10.1093\/jamiaopen\/ooae151","article-title":"Towards human-AI collaboration in radiology: a multidimensional evaluation of the acceptability of AI for chest radiograph analysis in supporting pulmonary tuberculosis diagnosis","volume":"8","author":"Hua","year":"2025","journal-title":"JAMIA Open"},{"issue":"4","key":"10.1016\/j.ijtb.2025.10.009_bib15","doi-asserted-by":"crossref","DOI":"10.3390\/a18040190","article-title":"A data-driven intelligent methodology for developing explainable diagnostic model for febrile diseases","volume":"18","author":"Amannah","year":"2025","journal-title":"Algorithms"}],"container-title":["Indian Journal of Tuberculosis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0019570725002264?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0019570725002264?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T21:01:04Z","timestamp":1765746064000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0019570725002264"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":15,"alternative-id":["S0019570725002264"],"URL":"https:\/\/doi.org\/10.1016\/j.ijtb.2025.10.009","relation":{},"ISSN":["0019-5707"],"issn-type":[{"type":"print","value":"0019-5707"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enabling real-time tuberculosis detection in hospital radiology through scalable actor-learner architectures for distributed deep reinforcement learning","name":"articletitle","label":"Article Title"},{"value":"Indian Journal of Tuberculosis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijtb.2025.10.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier B.V. on behalf of Tuberculosis Association of India.","name":"copyright","label":"Copyright"}]}}