Dr. B. D. Parameshachari, Dr. Danilo Pelusi, Dr. Bhargavi Goswami
{"title":"AI-Driven Big Data Analytics for Mobile Healthcare","authors":"Dr. B. D. Parameshachari, Dr. Danilo Pelusi, Dr. Bhargavi Goswami","doi":"10.1002/itl2.624","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This special issue highlights the key insights into the emerging trends and challenges of artificial intelligence (AI) driven big data analytics in mobile healthcare. The selected twenty-six articles, which include two letters, explore innovative applications and advancements in AI-driven healthcare technologies. The contributions of selected articles are divided into four main themes: Medical technology in healthcare communication and AI-driven healthcare, Fitness and Sports in Health Technology, Mental Health based on Behavior Analysis, and Healthcare Data Privacy with Blockchain. These articles collectively advance our understanding of AI applications in healthcare and reveal significant advancements in diagnostic accuracy, patient monitoring, data security and predictive analytics. Additionally, this review discusses the research findings and implications that will lead to groundbreaking insights in real-world applications, which could provide a clear path for learning a current healthcare technology in mobile health with AI.</p>\n </div>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 6","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/itl2.624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This special issue highlights the key insights into the emerging trends and challenges of artificial intelligence (AI) driven big data analytics in mobile healthcare. The selected twenty-six articles, which include two letters, explore innovative applications and advancements in AI-driven healthcare technologies. The contributions of selected articles are divided into four main themes: Medical technology in healthcare communication and AI-driven healthcare, Fitness and Sports in Health Technology, Mental Health based on Behavior Analysis, and Healthcare Data Privacy with Blockchain. These articles collectively advance our understanding of AI applications in healthcare and reveal significant advancements in diagnostic accuracy, patient monitoring, data security and predictive analytics. Additionally, this review discusses the research findings and implications that will lead to groundbreaking insights in real-world applications, which could provide a clear path for learning a current healthcare technology in mobile health with AI.
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