Results 61 to 70 of about 167,742,021 (128)

Erosion, Degradation, and Reliability of Next‐Generation Biomedical Internet of Medical Things Devices: Mechanisms, Monitoring, and Predictive Modeling

Engineering Reports, Volume 8, Issue 9, September 2026.
This review presents a comprehensive framework for understanding degradation mechanisms, material selection, surface engineering, in situ monitoring, and AI‐enabled predictive modeling in biomedical IoMT devices. It highlights strategies to improve long‐term reliability, durability, and clinical safety of implantable, wearable, and hybrid healthcare ...
Ankur Kumar, Sanjay Dhanka, Harvinder Singh, Jeewan Singh, Purnendu Shekar Pandey, Nitin Kumar, Sarpreet Singh, Vivek John, Yohannes Mengist   +8 more
wiley   +1 more source

A Comprehensive Survey on Security and Privacy Challenges in Internet of Medical Things Applications: Deep Learning and Machine Learning Solutions, Obstacles, and Future Directions

IEEE Access
The Internet of Medical Things (IoMT), a specialized segment of the Internet of Things (IoT), is revolutionizing healthcare by enabling real-time data collection, transmission, and processing from connected medical devices.
G. Nithyavani, G. Naga Raja
doaj   +1 more source

Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis [PDF]

ITM Web of Conferences
The Internet of Medical Things (IoMT): It is changing the healthcare sector in various ways by coupling the crucial aspects of IoT to monitor and diagnose patients remotely. Existing literature regarding IoMT applications has identified the high security
R Suganya, P Sasikala, Lavanya Chinthamalla, Rashid Syed Zahidur, Tiwari Mohit, G Vijayakumari   +5 more
doaj   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Trusted Composition of Internet of Medical Things over Imperfect Networks

Future Internet
The Internet of Medical Things (IoMT) represents a specialized domain within the Internet of Things, focusing on medical devices that require regulatory approval to ensure patient safety.
Ehsan Ahmad, Brian Larson, Abdulbasid Banga   +2 more
doaj   +1 more source

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions

, 2023
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient’s characteristics.
Paweł Pławiak, Rania A. Elsayed, Mohamed Hammad, Manar Osama, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif, Mohammed S. Sayed   +6 more
core   +1 more source

Leveraging blockchain and IoMT for secure and interoperable electronic health records

Scientific Reports
The Internet of Medical Things (IoMT) is transforming healthcare by seamlessly connecting medical devices, wearables, and sensors to enable personalized, real-time health monitoring and treatment for consumers.
Soufiane Ben Othman, Masresha Getahun
doaj   +1 more source

HSL‐CFS: Hybrid stacked learning with cooperative feature selection for cyberattack detection in smart grids

Energy Conversion and Economics, Volume 7, Issue 3, Page 207-220, June 2026.
Abstract An effective method for detecting cyberattacks is essential to the security of smart grids (SGs). In SGs, data from both cyber and physical domains can support attack detection. However, existing works insufficiently consider the heterogeneity, high dimensionality, and cross‐domain correlations of multi‐source data, affecting model ...
Qize Gao, Qiuyu Lu, June Li, Zhao Peng, Guo Shen, Ming Ni   +5 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, Volume 13, Issue 30, 28 May 2026.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT)

EURASIP Journal on Wireless Communications and Networking
Patient care and healthcare operations have been significantly improved by the use of Internet of Things (IoT) technology in medical applications.
M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan   +3 more
doaj   +1 more source