[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-116690-en":3,"doc-seo-116690-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},116690,962075114765,"Quinn","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",6,"Technology","Generative AI Revolution - Transforming Healthcare and Life Sciences Towards Sustainable Development in Industry 6.0","The series “Sustainable Artificial Intelligence-Powered Applications” (IEREK Interdisciplinary Series for Sustainable Development) introduces a sustainability-focused agenda for generative AI across healthcare and life sciences within the context of Industry 6.0. It outlines how AI systems enable image and video recognition, perspective modeling, smart automation, simulation, and complex analytics, with strong learning and improvement potential via machine learning and deep learning. The scope spans medical use and smart city and energy optimization, emphasizing responsible, interdisciplinary development and practical implementation.","Sustainable Artificial Intelligence-Powered Applications  \nIEREK Interdisciplinary Series for Sustainable Development  \nMohammed Gouse Galety · Subrata Chowdhury Arul Kumar Natarajan · Brahim ElBhiri Editors  \nGenerative AI Revolution  \nTransforming Healthcare and Life Sciences Towards Sustainable Development in Industry 6.0  \nSustainable Artificial Intelligence-Powered Applications  \nIEREK Interdisciplinary Series for Sustainable Development  \nEditorial Board  \nSimon Elias Bibri, Senior Research Scientist and Blue City Project Coordinator, Lausanne, Switzerland Subrata Chowdhury, Research Dean and Associate Professor Department of Computer Science and Engineering SITAMS (A), Chittoor, AP, India, Chittoor, Andhra Pradesh, India  \nImed Ben Dhaou, University of Turku and Dar Al-Hekma University, Jeddah, Saudi Arabia Rashi Gupta, PhD, Built Environment Faculty, SPA New Delhi, New Delhi, Delhi, India  \nMariella De fino, Associate professor in “Architectural Engineering” at the Polytechnic of Bari, Bari, Italy Mageswaran Sanmugam, Senior Lecturer Centre for Instructional Technology and Multimedia, George Town, Malaysia  \nLaiali H. Almazaydeh, College of Computer Information Technology The American University in the Emirates Dubai, UAE, Dubai, United Arab Emirates  \nHamid Rabiei, University College Dublin, School of Computer Science and Informatics, Marie Skłodowska-Curie Fellow, Maynooth, Ireland  \nKamel Abdelmoniem Mohamed Eid, College of Engineering, Qatar University, Gas Processing Center, Doha, Qatar  \nklodian Dhoska, Polytechnic University of Tirana, Albania, Tirana, Albania  \nSamir El Masri, Professor, Founder and President of Arab Society for Digital Transformation (ASDT), International Digital Industry Expert, Author, International Keynote Speaker and CEO at Digitalization, Dubai Silicon Oasis, United Arab Emirates  \nIffat Sabir, PhD in Management, University of Hull, Hull, UK  \nSaoucene Mahfoufa, Assistant Professor, School of Engineering, Computing and Design, Dar Al-Hekma University, Jeddah, Saudi Arabia  \nAdipandang Yudono, Department of Urban and Regional Planning, Faculty of Engineering, Brawijaya University, Indonesia, Malang, Indonesia  \nHamilton Varela, São Carlos Institute of Chemistry of the University of São Paulo (IQSC/USP, Brazil), São Carlos, Brazil  \nNur Azaliah Abu Bakar, Faculty of Artificial Intelligence, Universiti Teknologi Malaysia (UTM), Kuala Lumpur, Malaysia  \nMuhammad Qureshi, Senior Lecturer and Sector Lead: Global Supply Chain Management, Middlesbrough, UK Tarek Hassan, Department of Environmental Planning and Infrastructure Faculty of Urban and Regional Planning, Cairo University, Cairo, Egypt  \nZuheir Khlaif, Faculty of Humanities and Educational Sciences An-Najah National University, Nablus, Palestine, Nablus, Palestine, State of  \nImad Aboudrar, PhD in Electrical Engineering and Computer Science, Agadir, Morocco  \nThe interdisciplinary series “Sustainable Artificial intelligence Powered Applications,”(SAIPA) aims to cover a wide range of Artificial Intelligence applications with a specific focus on sustainability to further support the sustainable development goals. AI systems are able to perform a wide range of tasks, including high-level image and video recognition, perspective modeling, smart automation, advanced simulation, and complex analytics among many others, and has high learning and improvement potential through machine learning and deep learning. These capabilities have many uses and provide many benefits in all industries applications. SAIPA includes a diverse range of these applications, perspectives, and expertise, where it seeks to advance the understanding and implementation of sustainable AI-powered solutions across various scientific disciplines. Its aim is to become a comprehensive guide to different experimental sciences. The “Sustainable AI-Powered Applications”publishes conference proceedings, monographs, and textbooks that address the intersection of artificial intelligence, s","cbCaiiVSCjSAcaK3","https://ap.wps.com/l/cbCaiiVSCjSAcaK3","pdf",20191530,1,202,"English","en",105,"# IEREK Interdisciplinary Series for Sustainable Development\n## Sustainable Artificial Intelligence-Powered Applications (SAIPA)\n## Editorial Board\n## Series Scope and Application Domains\n## Series Editor and Editors","[{\"question\":\"What is the focus of the “Sustainable Artificial Intelligence-Powered Applications” series?\",\"answer\":\"The series aims to cover a wide range of AI applications with a specific focus on sustainability to support sustainable development goals. It targets implementation and understanding of sustainable AI-powered solutions across scientific disciplines.\"},{\"question\":\"What capabilities do AI systems highlighted in the document support?\",\"answer\":\"AI systems can perform tasks such as high-level image and video recognition, perspective modeling, smart automation, advanced simulation, and complex analytics. Machine learning and deep learning enable learning and continuous improvement.\"},{\"question\":\"Which application domains are included in the series scope?\",\"answer\":\"The scope includes health and medical use, smart city planning, transportation and infrastructure, renewable energy, precision agriculture, agricultural monitoring and robotics, energy-efficient buildings and factories, smart grids, climate modeling, environmental monitoring, waste management, and IoT-related domains.\"}]","Generative AI Revolution - Transforming Healthcare and Life Sciences Towards Sustainable Development in Industry 6.0 | PDF",1785662441,509,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"generative-ai-revolution-transforming-healthcare-and-life-sciences-towards-sustainable-development-in-industry-60","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/generative-ai-revolution-transforming-healthcare-and-life-sciences-towards-sustainable-development-in-industry-60/116690/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05","2026-08-02",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What is the focus of the “Sustainable Artificial Intelligence-Powered Applications” series?","Question",{"text":76,"@type":77},"The series aims to cover a wide range of AI applications with a specific focus on sustainability to support sustainable development goals. It targets implementation and understanding of sustainable AI-powered solutions across scientific disciplines.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What capabilities do AI systems highlighted in the document support?",{"text":81,"@type":77},"AI systems can perform tasks such as high-level image and video recognition, perspective modeling, smart automation, advanced simulation, and complex analytics. 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