The internet of medical things and artificial intelligence: trends, challenges, and opportunities

K Kakhi, R Alizadehsani, HMD Kabir, A Khosravi… - Biocybernetics and …, 2022 - Elsevier
High quality and efficient medical service is one of the major factors defining living
standards. Developed countries strive to make their healthcare systems as efficient and cost …

Segment anything model for medical images?

Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou… - Medical Image …, 2024 - Elsevier
Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …

[HTML][HTML] Internet of medical things: A systematic review

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Abstract Internet of Medical Things (IoMT) refers to applying Internet of Things (IoT) into the
medical field. The IoMT enables a medical system to connect various smart devices, such as …

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

SP RM, PKR Maddikunta, M Parimala, S Koppu… - Computer …, 2020 - Elsevier
The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …

Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms

YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …

Analysis of factors affecting IoT-based smart hospital design

BÇ Uslu, E Okay, E Dursun - Journal of Cloud Computing, 2020 - Springer
Currently, rapidly develo** digital technological innovations affect and change the
integrated information management processes of all sectors. The high efficiency of these …

IoMT‐based automated detection and classification of leukemia using deep learning

N Bibi, M Sikandar, I Ud Din… - Journal of healthcare …, 2020 - Wiley Online Library
For the last few years, computer‐aided diagnosis (CAD) has been increasing rapidly.
Numerous machine learning algorithms have been developed to identify different diseases …

Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence

MR Hassan, MF Islam, MZ Uddin, G Ghoshal… - Future Generation …, 2022 - Elsevier
Prostate cancer is one of the most common forms of cancer in men in many countries. The
survival rate can be significantly enhanced with early detection of the cancer so that …

[HTML][HTML] A fuzzy-based duo-secure multi-modal framework for IoMT anomaly detection

SA Wagan, J Koo, IF Siddiqui, NMF Qureshi… - Journal of King Saud …, 2023 - Elsevier
With the advancement in the Internet of Medical Things (IoMT) infrastructure, network
security issues have become a serious concern for hospitals and medical facilities. For this …

Samm (segment any medical model): A 3d slicer integration to sam

Y Liu, J Zhang, Z She, A Kheradmand… - arxiv preprint arxiv …, 2023 - arxiv.org
The Segment Anything Model (SAM) is a new image segmentation tool trained with the
largest available segmentation dataset. The model has demonstrated that, with prompts, it …