Bibliografías temáticas / AI in Smart Devices

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Literatura académica sobre el tema "AI in Smart Devices"

Autor: Grafiati
Publicado: 7 de junio de 2025
Última modificación: 2 de agosto de 2025

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Artículos de revistas sobre el tema "AI in Smart Devices"

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Journal, IJSREM. "Speech Recognition for Smart AI Devices." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28347.

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This article looks at the progress, challenges and future directions in the field of speech recognition for intelligent AI devices. Speech recognition technology has made significant progress over the years, enabling seamless interactions between humans and artificial intelligence. This article provides an in-depth analysis of modern speech recognition techniques used in smart AI devices and the potential applications and limitations of the technology. It also discusses the current challenges faced by developers and researchers and suggests possible solutions to overcome them. Keywords-Natural
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Wang, Yuhao. "Survey on Smart Wearable Devices: What Can AI Affect." Applied and Computational Engineering 116, no. 1 (2024): 148–53. https://doi.org/10.54254/2755-2721/2025.20431.

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In the modern era, as smartphone penetration is approaching saturation, wearable mobile devices have emerged as a significant technological trend. This article focuses on smart wearable devices and explores the critical role of artificial intelligence (AI) in their evolution. It analyzes their development history, technical characteristics, application scenarios, and future directions. By reviewing relevant research, it summarizes the application achievements and challenges of AI in smart wearable devices, such as in the fields of healthcare and education, as well as the data collection and al
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Wu, Jun Da, and Dong Min Lee. "A Study on the Design and Usability of AI Speaker Products : Focused on China's Market Environment and Users." Institute of Art & Design Research 27, no. 1 (2024): 219–31. http://dx.doi.org/10.59386/jadr.2024.27.1.219.

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This study highlights the potential of AI technology as a key driver of the Fourth Industrial Revolution, particukarly in transformig consumer habits around audio devices and creating interconnected smart home environments. It explores how AI can enhance user experience and human-machine interaction in product design, increasing the convenience and appeal of electronic audio devices. The paper also analyzes the impact of AI on product optimization, innovation, and market competitiveness, providing insights into the future of the smart audio device industry.
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S, Sandeep, Halashankar N. Patil, Arunkumar HS, Yathish S, and Prof Sandeep K V. "Review Paper on Energy Management for Home Automation Using AI." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 2050–51. http://dx.doi.org/10.22214/ijraset.2022.41059.

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Abstract: The smart energy management system was developed with the ability to record, store, and process power consumption data for all major home and industrial devices. Artificial intelligence technologies such as decision making and XG Boost have made advances in power electronics and energy engineering. These technologies provide powerful tools for designing, simulating, controlling, estimating, and fault diagnostic control of modern smart grids and renewable energy systems. AI technology has evolved rapidly over the past few decades, and its applications in modern industrial systems are
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Adebunmi Okechukwu Adewusi, Njideka Rita Chiekezie, and Nsisong Louis Eyo-Udo. "The role of AI in enhancing cybersecurity for smart farms." World Journal of Advanced Research and Reviews 15, no. 3 (2022): 501–12. http://dx.doi.org/10.30574/wjarr.2022.15.3.0889.

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The integration of advanced technologies into agriculture has given rise to smart farms, which leverage Internet of Things (IoT) devices, sensors, data management systems, and automation to optimize farming operations. However, the increasing digitization of agriculture introduces significant cybersecurity challenges, including vulnerabilities in IoT devices, data breaches, and threats to automated systems. Addressing these challenges is crucial to ensuring the security, efficiency, and sustainability of smart farms. Artificial Intelligence (AI) has emerged as a pivotal technology in enhancing
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Jyoti Bolannavar and Dr. Sumati Ramakrishna Gowda. "Smart Security : A Comprehensive Exploration of AI and IoT in Cybersecurity." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 635–40. http://dx.doi.org/10.32628/cseit2410447.

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This paper investigates the transformative roles of Artificial Intelligence (AI) and the Internet of Things (IoT) in cybersecurity, especially as the complexity and connectivity of digital networks intensify. The rapid adoption of IoT devices in industries and homes alike has significantly broadened the cyber threat landscape, introducing countless points of vulnerability. Cybercriminals now target the vast and often unsecured data generated by IoT devices, exploiting weak access controls, outdated software, and inadequate encryption. In response, AI has become a critical tool in modern cybers
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Seng, Kah Phooi, Li-Minn Ang, Eno Peter, and Anthony Mmonyi. "Machine Learning and AI Technologies for Smart Wearables." Electronics 12, no. 7 (2023): 1509. http://dx.doi.org/10.3390/electronics12071509.

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The recent progress in computational, communications, and artificial intelligence (AI) technologies, and the widespread availability of smartphones together with the growing trends in multimedia data and edge computation devices have led to new models and paradigms for wearable devices. This paper presents a comprehensive survey and classification of smart wearables and research prototypes using machine learning and AI technologies. The paper aims to survey these new paradigms for machine learning and AI for wearables from various technological perspectives which have emerged, including: (1) s
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Rajendran, Bipin. "Building a Smart and Green AI." Electrochemical Society Interface 32, no. 1 (2023): 47–48. http://dx.doi.org/10.1149/2.f09231if.

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How do we design cognitive computing systems that not only deliver well-calibrated and trustworthy decisions, but can also be deployed in the field, are capable of adapting or learning the features of unseen input streams in a secure manner, and operate within the energy budgets of battery-operated devices?
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Mugalakhod, Miss Sneha, and Miss Shweta M. Nirmanik. "AI Driven Smart Homes Energy Efficiency and Model." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 461–65. http://dx.doi.org/10.22214/ijraset.2022.45266.

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Abstract: Artificial intelligence (AI) has received immense attention from the research community and the industry, leading to AI being adopted in many real-world applications. The growing trend of deploying AI has dramatically changed the ergonomics of modern-day practices in many realms, including smart homes, healthcare, insurance, investment and banking, social services, infrastructure, and marketing. A smart home, often referred to as an intelligent home, comprises smart technologies supported by AI. Smart home has its applications in household appliances, home safety and security, lighti
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Guo, X., Z. Shen, X. Teng, and Z. Zhao. "Using virtual reality (VR) simulation to help developing a smart meeting space with AI Product to support moderator." IOP Conference Series: Materials Science and Engineering 1212, no. 1 (2022): 012005. http://dx.doi.org/10.1088/1757-899x/1212/1/012005.

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Abstract Smart building has a pivotal role in promoting the industrialization of buildings. Meeting room is a common type of public space. Developing a smart meeting space can play an important role in addressing the issue of research on smart building. In this paper, we develop a smart meeting space with AI product to support moderator. We create 3D model of the meeting room and import it into VR headset to having an experiment. 20 participants are engaged to answer questionnaire and have interview. The results of this study show that most of the participants think the meeting space we develo
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Tesis sobre el tema "AI in Smart Devices"

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Nardello, Matteo. "Low-Power Smart Devices for the IoT Revolution." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/274371.

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Internet of Things (IoT) is a revolutionary paradigm approaching both industries and consumers everyday life. It refers to a network of addressable physical objects that contain embedded sensing, communication and actuating technologies, to sense and interact with the environment where being deployed. It can be considered as a modern expression of Mark Weiser's vision of ubiquitous computing where tiny networked computers become part of everyday objects, fusing together the virtual world and the physical word. Recent advances in hardware solutions have led to the emergence of powerful wirele
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Nardello, Matteo. "Low-Power Smart Devices for the IoT Revolution." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/274371.

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Internet of Things (IoT) is a revolutionary paradigm approaching both industries and consumers everyday life. It refers to a network of addressable physical objects that contain embedded sensing, communication and actuating technologies, to sense and interact with the environment where being deployed. It can be considered as a modern expression of Mark Weiser's vision of ubiquitous computing where tiny networked computers become part of everyday objects, fusing together the virtual world and the physical word. Recent advances in hardware solutions have led to the emergence of powerful wireles
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O'Rell, James L. "Smart Terrain using Multiple Needs." Youngstown State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1338040302.

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Miftah, el kheir Laila. "Smart devices for biomedical applications." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCD054.

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Dans cette thèse, nous nous sommes intéressés aux systèmes intelligents pour des applicationsmédicales et cosmétiques. Ainsi, nous avons conçu et réalisé trois instruments. Le premier estdédié à la mesure de la mouillabilité de la peau. L’originalité de ce dispositif réside en sa capacité àdonner une image 3D de la goûte de la surface de la peau explorée et de donner le comportementdynamique de la goûte. Cette stratégie nous donnera la possibilité de créer de nouvelles basesde données relatives à la mouillabilité de tout le corps humain. En effet, nous disposons que desdonnées sur la mouillabi
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Ensini, Davide. "Spatial computing per smart devices." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7990/.

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Magic Carpet, nato come un middleware orientato a una dimostrazione sullo spatial computing, che inizialmente coinvolgeva solo smart devices ed un tappeto di tag NFC, è il punto di partenza per uno studio sulle tecnologie abilitanti in tale campo. Il prodotto finale è una toolchain per lo sviluppo e la distribuzione, su dispositivi connessi, di applicazioni di spatial computing. Essa comprende un interprete per un DSL basato su un core calculus formalizzato, Field Calculus, e un middleware che supporta l'astrazione curando, a basso livello, le comunicazioni con il vicinato e le percezioni a
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Jansen, Marc. "Integrating smart devices in Java applications." Hamburg Kovač, 2005. http://www.verlagdrkovac.de/3-8300-2374-X.htm.

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Jansen, Marc. "Integrating smart devices in Java applications /." Hamburg : Kovač, 2006. http://www.verlagdrkovac.de/3-8300-2374-X.htm.

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Biswas, Avishek Ph D. Massachusetts Institute of Technology. "Energy-efficient smart embedded memory design for IoT and AI." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117831.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 137-146).<br>Static Random Access Memory (SRAM) continues to be the embedded memory of choice for modern System-on-a-Chip (SoC) applications, thanks to aggressive CMOS scaling, which keeps on providing highe
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CARBONE, ANDREA. "Dal dirigente ai dirigenti." Doctoral thesis, Università degli studi di Bergamo, 2021. http://hdl.handle.net/10446/181275.

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Kuang, Hao. "SSA: Smart Surveillance Assistant for Mobile Devices." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32535.

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Over the past few years, the capability of smart devices has grown incessantly, and is showing no sign of slowing down. Along with the decreasing cost of manufacturing high definition surveillance cameras, this has led to the increased ease and convenience of installing surveillance cameras at or in private places. Various applications focus on home surveillance, however simply sending a high definition image does not satisfy all of the users’ needs. On a site that is monitored by a surveillance camera, the high-resolution surveillance camera streams its video to a user's handheld device. Unfo
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Libros sobre el tema "AI in Smart Devices"

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Verma, Yogesh Kumar, Manoj Singh Adhikari, Varun Mishra, Suman Lata Tripathi, and Manoj Kumar Shukla. Smart Electronic Devices. CRC Press, 2025. https://doi.org/10.1201/9781003643173.

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Gupta, Ram K., and Tuan Anh Nguyen. Smart and Flexible Energy Devices. CRC Press, 2022. http://dx.doi.org/10.1201/9781003186755.

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Mahmood, Zaigham, ed. Connectivity Frameworks for Smart Devices. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33124-9.

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Khang, Alex, Sita Rani, and Arun Kumar Sivaraman. AI-Centric Smart City Ecosystems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542.

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Rai, Sajay, Philip Chukwuma, and Richard Cozart. Security and Auditing of Smart Devices. Auerbach Publications, 2016. http://dx.doi.org/10.1201/9781315369372.

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Dutta, Gorachand, and Arindam Biswas, eds. Next Generation Smart Nano-Bio-Devices. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7107-5.

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Vinoy, K. J., G. K. Ananthasuresh, Rudra Pratap, and S. B. Krupanidhi, eds. Micro and Smart Devices and Systems. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1913-2.

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Abdullah, Ermira Junita, Dayang Laila Abdul Majid, and Kittikhun Thongpull. Devices and Wearables Using Smart Actuator. River Publishers, 2024. https://doi.org/10.1201/9788770047500.

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Guduri, Manisha, Chinmay Chakraborty, and Martin Margala. Smart Devices for Medical 4.0 Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003603610.

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Ponce, Pedro, Therese Peffer, Juana Isabel Mendez Garduno, et al. Data and AI Driving Smart Cities. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32828-2.

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Capítulos de libros sobre el tema "AI in Smart Devices"

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Patel, Raju, Sachin Gupta, Balraj Singh, and Shailendra Kumar Tripathi. "AI for smart agriculture." In Smart Electronic Devices. CRC Press, 2025. https://doi.org/10.1201/9781003643173-1.

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Adhikari, Manoj Singh, Arunava Majumder, Manoj Sindhwani, and Shippu Sachdeva. "AI and IoT integration for smart agriculture." In Smart Electronic Devices. CRC Press, 2025. https://doi.org/10.1201/9781003643173-3.

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Verma, Yogesh Kumar. "HEMT biosensors integrated with AI and ML for IoT devices." In Smart Electronic Devices. CRC Press, 2025. https://doi.org/10.1201/9781003643173-13.

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Bhardwaj, Akashdeep. "AI-based cybersecurity opportunities and issues on industrial IoT." In Cyber Investigations of Smart Devices. CRC Press, 2024. http://dx.doi.org/10.1201/9781003570387-9.

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Patidar, Mukesh, Namit Gupta, Ankit Jain, and Nilesh Patidar. "The Role of Nanoelectronic Devices in a Smart City Ecosystem." In AI-Centric Smart City Ecosystems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-6.

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Pachore, M. V., and S. S. Shirguppikar. "Covid-19 or Viral Pneumonia Detection Using AI Tools." In Handbook of Smart Materials, Technologies, and Devices. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84205-5_136.

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Pachore, M. V., and S. S. Shirguppikar. "Covid-19 or Viral Pneumonia Detection Using AI Tools." In Handbook of Smart Materials, Technologies, and Devices. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58675-1_136-1.

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Gargrish, Shubham, Sharad Chauhan, Meenu Gupta, and Ahmed J. Obaid. "6G-Enabled IoT Wearable Devices for Elderly Healthcare." In 6G-Enabled IoT and AI for Smart Healthcare. CRC Press, 2023. http://dx.doi.org/10.1201/9781003321668-8.

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Chevella, Anil Kumar, V. Sagar Reddy, A. Pravallika, Akinapally Sruthi, Akula Sainath, and Tapeshwar Mandotra. "AI-Driven Smart Healthcare System for Monitoring Drought and Analyzing Climate Change Impacts in Healthcare for Medical 4.0." In Smart Devices for Medical 4.0 Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003603610-9.

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Agarwal, Manish Baboo, Manu Mehrotra, Manish Kumar Panday, Pankaj Mittal, Vinay Kumar Jadon, and Seema Agarwal. "Nano AI Synergy: Advancements in Smart Materials, Devices and Intelligent Systems." In Information Systems Engineering and Management. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77296-2_4.

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Actas de conferencias sobre el tema "AI in Smart Devices"

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Sinha, Aashna, Nishesh Sharma, Shivam Kumar, Ayapal Lande, and Mohammed Ismail Iqbal. "AI-Enhanced Living: The Future of Smart Homes." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751168.

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Zaritskyi, Oleh V., Dmytro Shyrokorad, Rosella Omana Mancilla, et al. "AI-driven Access Control System for Smart Factory Devices." In 2025 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2025. https://doi.org/10.1109/smartcomp65954.2025.00084.

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Rani, Suman, Richa Pandey, Minkashi Memoria, Kapil Joshi, and Konada Hari Krishna. "KOA Management in CDS using AI: A Review." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751575.

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Sahu, Mansi, Atreyi Pramanik, Gotte Ranjith Kumar, and Santosh Reddy Addula. "Revolutionizing Renewable Energy: AI-Based Solutions for Sustainable Biofuel." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751278.

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Katke, Shubhangi R., and Utkarsha Pacharaney. "Smart Solutions for Visual Impairment by AI-Based Assistive Devices." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842872.

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Saini, Dilip Kumar Jang Bahadur. "AI-based effective transport management system using fused WSN data." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751565.

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Bahadur Saini, DilipKumar Jang, Ramdas G. Biradar, Gunjan Chhabra, Keshav Kaushik, Manohar N. Kalgunde, and Umesh Trambakrao Kute. "AI-Based Modeling And Simulation Studies On Automation In Power Systems." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751294.

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Sinha, Aashna, Nishesh Sharma, Yerrolla Chanti, and Arvind Singh Rawat. "Revolutionizing Waste Management AI-Powered Solutions for Electronic Waste in India." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751187.

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Pokhriyal, Samiksha, Rajesh Bahuguna, Anil Kumar Dixit, Minakshi Memoria, Sagar Saxena, and Vasundhara Bhatt. "Using AI-Based Techniques with Prisoners Who Suffer from Mental Illness." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10751522.

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Gopukumar, S. T., Malik Bader Alazzam, Suresh Babu Kondaveeti, Ban Safar Khalaf, K. Madhavi, and Ponni Valavan M. "Sustainable Biocompatible Sensors for Health Monitoring Using Hybrid Autoencoders-GANs in IoT-Integrated Wearable Devices." In 2025 AI-Driven Smart Healthcare for Society 5.0. IEEE, 2025. https://doi.org/10.1109/ieeeconf64992.2025.10963270.

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Informes sobre el tema "AI in Smart Devices"

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Gavrila, Serban, Clement Seveillac, and Vlad Korolev. Smart cards and mobile handheld devices :. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7206.

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Pasupuleti, Murali Krishna. Smart Nanomaterials and AI-Integrated Grids for Sustainable Renewable Energy. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1025.

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Abstract: The transition to sustainable and intelligent renewable energy systems is being driven by advancements in smart nanomaterials and AI-integrated smart grids. Nanotechnology has enabled the development of high-performance energy materials, such as graphene, perovskites, quantum dots, and MXenes, which enhance the efficiency, durability, and scalability of renewable energy solutions. Simultaneously, AI-driven smart grids leverage machine learning, deep learning, and digital twins to optimize energy distribution, predictive maintenance, and real-time load balancing in renewable energy ne
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Pasupuleti, Murali Krishna. Automated Smart Contracts: AI-powered Blockchain Technologies for Secure and Intelligent Decentralized Governance. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv425.

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Abstract: Automated smart contracts represent a paradigm shift in decentralized governance by integrating artificial intelligence (AI) with blockchain technologies to enhance security, scalability, and adaptability. Traditional smart contracts, while enabling trustless and automated transactions, often lack the flexibility to adapt to dynamic regulatory frameworks, evolving economic conditions, and real-time security threats. AI-powered smart contracts leverage machine learning, reinforcement learning, and predictive analytics to optimize contract execution, detect fraudulent transactions, and
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Halterman, Andrew. Storming the Kasa? Security analysis of TP-Link Kasa smart home devices. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-1335.

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Miller, Kyle, and Andrew Lohn. Onboard AI: Constraints and Limitations. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/2022ca008.

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Artificial intelligence that makes news headlines, such as ChatGPT, typically runs in well-maintained data centers with an abundant supply of compute and power. However, these resources are more limited on many systems in the real world, such as drones, satellites, or ground vehicles. As a result, the AI that can run onboard these devices will often be inferior to state of the art models. That can affect their usability and the need for additional safeguards in high-risk contexts. This issue brief contextualizes these challenges and provides policymakers with recommendations on how to engage w
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Fukuda, Koichi. Future Prospects for Smart Agriculture: Focusing on Case Studies in Japan and Asia. Asian Productivity Organization, 2025. https://doi.org/10.61145/jimb5846.

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This report examines the future prospects of smart agriculture, focusing on case studies from Japan and other Asian countries. Since 2019, Japan has promoted smart agriculture through government-supported initiatives, primarily targeting large-scale farms utilizing technologies such as AI, robotics, and satellite systems. However, as most Japanese farmers operate on a small-to-medium scale, there is growing demand for cost-effective, user-friendly solutions. The report highlights innovations including compact robots, AI-driven irrigation systems, and mobile apps for farm management and traceab
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Etemadi, Mozziyar, Will McGrath, Shuvo Roy, and Bjoern Hartmann. Fabryq: Using Phones as Smart Proxies to Control Wearable Devices from the Web. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada611853.

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Zhao, Yan. Mesoporous silica nanoparticles as smart and safe devices for regulating blood biomolecule levels. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1029552.

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Du, Runjia, Paul (Young Joun) Ha, Jiqian Dong, Sikai Chen, and Samuel Labi. Large network multi-level control for CAV and Smart Infrastructure: AI-based Fog-Cloud collaboration. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317465.

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Wagner, Rudolf. EU AI Act (2024/1689) and EU MDR (2017/745): Breaking the Expensive Myth: Why AI-Powered Medical Devices Under EU MDR Don’t Need EU AI Act Certification – A Detailed Analysis of Regulatory Requirements and Compliance. Rudolf Wagner, 2025. https://doi.org/10.70317/2025.02rw02.

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The Growing Fear of Regulatory Overlap in AI-Driven Healthcare The EU AI Act (Regulation (EU) 2024/1689) has ignited discussions across the healthcare industry, especially among manufacturers of AI-powered medical devices. A major concern is whether these devices, already scrutinized under the EU Medical Device Regulation (MDR) 2017/745, will now face an additional regulatory burden—a second certification under the AI Act. This would mean double the compliance costs, twice the paperwork, and unnecessary delays for market entry. This paper shows that double certification is redundant and is not
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