Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)

Diwakar, Manoj; Singh, Prabhishek; Ravi, Vinayakumar

doi:10.3390/bioengineering10121370

Cited by 1 publication

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References 19 publications

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“…The authors delved into the intersection of medical data analysis, artificial intelligence (AI), and the Internet of Medical Things in their research article featured in Bioengineering [4]. Through the fusion of sophisticated data analytics methods with the capabilities of AI and IoMT devices, the scholars underscored the opportunity for transforming healthcare provision and personalized medicine.…”

Section: Related Studymentioning

confidence: 99%

Deciphering the Digital Healthscape: Unveiling the Intricacies of the Internet of Medical Things (IoMT)

Ara

2024

TTADSA

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Through the integration of networking, data analytics, and medical devices, the Internet of Medical Things (IoMT) has revolutionized patient care and healthcare administration. Presented here is extensive study on IoMT that sheds light on its impact on healthcare settings, including its origins, technical foundations, uses, security worries, interoperability problems, and potential future developments. The evolution of IoMT began with the integration of internet connection with medical devices and continues with the complex and linked environment of today. This shift in thinking makes possible preventative healthcare, individualized treatment plans, and remote patient monitoring. Technologies for data storage, networking, and sensors are the backbone of IoMT. Streamlined connection, real-time data transmission, and a robust IoMT architecture for healthcare applications are all described in the article. Remote patient monitoring and the management of chronic illnesses are two areas where IoMT finds application in healthcare. Literature show how IoMT describes a data-driven, proactive, and personalized healthcare delivery strategy that improves patient outcomes, treatment adherence, and resource utilization. The research addresses important topics related to IoMT, such as healthcare privacy and security. Securing IoMT and bolstering trust in connected healthcare are the goals of research into encryption, access controls, and data protection regulations. To implement IoMT, interoperability concerns must be addressed. The essay delves into the difficulties of integrating IoMT devices and systems, as well as the necessity of standardized frameworks to facilitate data sharing and interoperability. Future advances in the IoMT, such as the integration of AI and blockchain for security, are predicted in the research. The paper highlights the potential of IoMT to impact healthcare delivery and address global healthcare concerns. This study demonstrates the transformation of IoMT to academics, healthcare professionals, and policymakers. Keyword :Internet of Medical Things (IoMT), Digital Healthscape, Remote Patient Monitoring, Data Analytics, Security, Interoperability, Future Trends

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Section: Related Studymentioning

confidence: 99%

Deciphering the Digital Healthscape: Unveiling the Intricacies of the Internet of Medical Things (IoMT)

Ara

2024

TTADSA

View full text Add to dashboard Cite

show abstract

Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)

Abstract: AI is a contemporary methodology rooted in the field of computer science [...]

Cited by 1 publication

References 19 publications

Deciphering the Digital Healthscape: Unveiling the Intricacies of the Internet of Medical Things (IoMT)

Deciphering the Digital Healthscape: Unveiling the Intricacies of the Internet of Medical Things (IoMT)

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