TY - JOUR
T1 - Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems
T2 - An overview of current and future innovative trends
AU - Mathkor, Darin Mansor
AU - Mathkor, Noof
AU - Bassfar, Zaid
AU - Bantun, Farkad
AU - Slama, Petr
AU - Ahmad, Faraz
AU - Haque, Shafiul
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/4
Y1 - 2024/4
N2 - Internet of Medical Things (IoMT) is an emerging subset of Internet of Things (IoT), often called as IoT in healthcare, refers to medical devices and applications with internet connectivity, is exponentially gaining researchers’ attention due to its wide-ranging applicability in biomedical systems for Smart Healthcare systems. IoMT facilitates remote health biomedical system and plays a crucial role within the healthcare industry to enhance precision, reliability, consistency and productivity of electronic devices used for various healthcare purposes. It comprises a conceptualized architecture for providing information retrieval strategies to extract the data from patient records using sensors for biomedical analysis and diagnostics against manifold diseases to provide cost-effective medical solutions, quick hospital treatments, and personalized healthcare. This article provides a comprehensive overview of IoMT with special emphasis on its current and future trends used in biomedical systems, such as deep learning, machine learning, blockchains, artificial intelligence, radio frequency identification, and industry 5.0.
AB - Internet of Medical Things (IoMT) is an emerging subset of Internet of Things (IoT), often called as IoT in healthcare, refers to medical devices and applications with internet connectivity, is exponentially gaining researchers’ attention due to its wide-ranging applicability in biomedical systems for Smart Healthcare systems. IoMT facilitates remote health biomedical system and plays a crucial role within the healthcare industry to enhance precision, reliability, consistency and productivity of electronic devices used for various healthcare purposes. It comprises a conceptualized architecture for providing information retrieval strategies to extract the data from patient records using sensors for biomedical analysis and diagnostics against manifold diseases to provide cost-effective medical solutions, quick hospital treatments, and personalized healthcare. This article provides a comprehensive overview of IoMT with special emphasis on its current and future trends used in biomedical systems, such as deep learning, machine learning, blockchains, artificial intelligence, radio frequency identification, and industry 5.0.
KW - Biomedical systems
KW - Internet of medical things (IoMT)
KW - IoT in healthcare
KW - Real-time patient data
KW - Smart healthcare systems
UR - https://www.scopus.com/pages/publications/85185507500
U2 - 10.1016/j.jiph.2024.01.013
DO - 10.1016/j.jiph.2024.01.013
M3 - Artículo de revisión
C2 - 38367570
AN - SCOPUS:85185507500
SN - 1876-0341
VL - 17
SP - 559
EP - 572
JO - Journal of Infection and Public Health
JF - Journal of Infection and Public Health
IS - 4
ER -