{"id":1544,"date":"2023-06-15T20:11:22","date_gmt":"2023-06-15T20:11:22","guid":{"rendered":"https:\/\/www.lunit.io\/publication\/artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health\/"},"modified":"2025-11-02T11:58:18","modified_gmt":"2025-11-02T11:58:18","slug":"artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health","status":"publish","type":"publication","link":"https:\/\/www.lunit.io\/en\/publication\/artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health\/","title":{"rendered":"Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health"},"content":{"rendered":"<h3>Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health<\/h3>\n<p>Julien Onno, Faiz Ahmad Khan, Amrita Daftary, et al.<\/p>\n<p><strong>Social Science &amp; Medicine, 2023<\/strong><\/p>\n<p><strong>Abstract<\/strong><br \/>\nComputer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-rays have recently been promoted as an easy fix for a complex problem: ending TB by 2030. WHO has recommended the use of such imaging devices in 2021 and many partnerships have helped propose benchmark analysis and technology comparisons to facilitate their \u201cmarket access\u201d.<br \/>\nOur aim is to examine the socio-political and health issues that stem from using AI-CAD technology in a global health context conceptualized as a set of practice and ideas organizing global intervention \u201cin the life of others\u201d. We also question how this technology, which is not yet fully implemented in routine use, may limit or amplify some inequalities in the care of tuberculosis. We describe AI-CAD through Actor-Network-Theory framework to understand the global assemblage and composite activities associated with detection through AI-CAD, and interrogate how the technology itself may consolidate a specific configuration of \u201cglobal health\u201d.<br \/>\nWe explore the various dimensions of AI-CAD \u201chealth effects model\u201d: technology design, development, regulation, institutional competition, social interaction and health cultures. On a broader level, AI-CAD represents a new version of global health's accelerationist model centered on \u201cmoving and autonomous-presumed technologies\u201d.<br \/>\nWe finally present key aspects in our research which help discuss the theories mobilized: AI-CAD ambivalent insertion in global health, the social lives of its data: from efficacy to markets and AI-CAD human care and maintenance it requires. We reflect on the conditions that will affect AI-CAD use and its promises. In the end, the risk of new detection technologies such as AI-CAD is indeed that the fight against TB could be reduced to one that is purely technical and technological, with neglect to its social determinants and effects.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0277953623003064?dgcid=author\"><strong>Read the full paper<\/strong><\/a><\/p>\n","protected":false},"featured_media":0,"template":"","publication-oncology":[],"publication-region":[91],"publication-type":[],"radiology":[104,96,108],"class_list":["post-1544","publication","type-publication","status-publish","hentry","publication-region-north-america","radiology-chest","radiology-lunit-insight","radiology-tuberculosis-and-ai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health - Lunit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lunit.io\/en\/publication\/artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health - Lunit\" \/>\n<meta property=\"og:description\" content=\"Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health Julien Onno, Faiz Ahmad Khan, Amrita Daftary, et al. Social Science &amp; Medicine, 2023 Abstract Computer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-rays have recently been promoted as an easy fix [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.lunit.io\/en\/publication\/artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health\/\" \/>\n<meta property=\"og:site_name\" content=\"Lunit\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-02T11:58:18+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@lunit_ai\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.lunit.io\\\/en\\\/publication\\\/artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health\\\/\",\"url\":\"https:\\\/\\\/www.lunit.io\\\/en\\\/publication\\\/artificial-intelligence-based-computer-aided-detection-ai-cad-in-the-fight-against-tuberculosis-effects-of-moving-health-technologies-in-global-health\\\/\",\"name\":\"Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health - 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