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An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia

An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia

Innovative waste disposal technologies: Most existing studies typically investigate the use of Internet of Things (Io T)–based smart bins [11-15], integration of Io T and artificial intelligence algorithms [16], gamification to encourage recycling behaviors [17,18], and semantic web technologies for enhanced data integration [19]. Microbial waste utilization and mobile waste processing plants are also used to enhance waste management efficiency and reduce the environmental impact [20].

Vitri Tundjungsari, Bambang Purnomosidi Dwi Putranto, Muhamad Bahrul Ulum, Nizirwan Anwar

JMIR Serious Games 2025;13:e66781

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Educators and administrators can leverage the power of Io T to connect people with devices and data, enabling them to gain valuable insights that have not been previously used in education. The traditional human-centered educational system has been transformed into an Io T-based one [4-6] using Io T. Io T has been leveraged to change the conventional personalized schooling system to an Io T-based system [4-6].

Khadija Alhumaid, Kevin Ayoubi, Maha Khalifa, Said Salloum

JMIR Hum Factors 2025;12:e58377

Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability

Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability

Starting October 2023, we conducted several meetings and workshops among the 6 projects to elucidate how they adopt health standards and Internet of Things (Io T) semantic interoperability. This included examining interoperability standards for health data, knowledge graphs–related technologies, the Smart Applications Reference Ontology (SAREF), the data quality framework (DQF), patient-generated health data (PGHD), AI reasoning, federated approaches, security, and privacy.

Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

J Med Internet Res 2025;27:e66273

Developing Independent Living Support for Older Adults Using Internet of Things and AI-Based Systems: Co-Design Study

Developing Independent Living Support for Older Adults Using Internet of Things and AI-Based Systems: Co-Design Study

The Internet of Things (Io T) and artificial intelligence (AI) offer significant benefits for supporting older adults in living independently, through enhanced health monitoring, improved home safety, and increased social connection, which in turn can improve health-related quality of life [4,5]. In this context, Io T refers to a network of physical devices that communicate and exchange data, while AI-based systems use algorithms and machine learning to process and analyze this data.

Claire M Timon, Emma Heffernan, Sophia Kilcullen, Louise Hopper, Hyowon Lee, Pamela Gallagher, Alan F Smeaton, Kieran Moran, Pamela Hussey, Catriona Murphy

JMIR Aging 2024;7:e54210

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform

API: application programming interface; Io T: Internet of Things. The a RMT app renders questionnaires using Java Script Object Notation (JSON) definition files, which store data in key-value pairs. Within a single questionnaire file exists a collection of questions, each containing attributes such as field name, label or text, input type (checkbox, free text, etc), choices, and more. Subsequently, the a RMT app uses these files to display the questionnaire within the user interface.

Zulqarnain Rashid, Amos A Folarin, Yuezhou Zhang, Yatharth Ranjan, Pauline Conde, Heet Sankesara, Shaoxiong Sun, Callum Stewart, Petroula Laiou, Richard J B Dobson

JMIR Ment Health 2024;11:e51259

An Ontology to Bridge the Clinical Management of Patients and Public Health Responses for Strengthening Infectious Disease Surveillance: Design Science Study

An Ontology to Bridge the Clinical Management of Patients and Public Health Responses for Strengthening Infectious Disease Surveillance: Design Science Study

The envisaged ontology, called “Io T-based management of infectious disease ontology” (Io T-MIDO), may aid prompt, timely, and concerted responses to infectious disease outbreaks with the effective allocation of limited resources. The novelty and uniqueness of the ontology lies in incorporating Io T-related concepts and concepts relevant to infectious disease surveillance and management.

Sachiko Lim, Paul Johannesson

JMIR Form Res 2024;8:e53711

Industry 4.0 Technologies in Maternal Health Care: Bibliometric Analysis and Research Agenda

Industry 4.0 Technologies in Maternal Health Care: Bibliometric Analysis and Research Agenda

According to Paul et al [12], I4.0 applications, the Internet of Things (Io T), big data analytics (BDA), cloud computing, blockchain, and AI have had a significant impact on Health 4.0. A search string was thus formulated to focus only on these I4.0 technologies (applications). The primary focus was also limited to maternal health care.

Khulekani Sibanda, Patrick Ndayizigamiye, Hossana Twinomurinzi

JMIR Pediatr Parent 2024;7:e47848

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

The integration of artificial intelligence (AI) into household devices, such as built-in voice-activated virtual assistants, epitomizes the “Internet of Things” (Io T) concept, where devices are interconnected over the internet allowing for remote monitoring and control [1]. Gigli and Koo [2] described the Io T concept as an “ongoing movement to consolidate all resources globally into a shared infrastructure.”

Kristina Marie Kokorelias, Alisa Grigorovich, Maurita T Harris, Umair Rehman, Louise Ritchie, AnneMarie M Levy, Kerstin Denecke, Josephine McMurray

J Med Internet Res 2024;26:e57258