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 …

IoT adoption and application for smart healthcare: a systematic review

M Al-Rawashdeh, P Keikhosrokiani, B Belaton… - Sensors, 2022 - mdpi.com
In general, the adoption of IoT applications among end users in healthcare is very low.
Healthcare professionals present major challenges to the successful implementation of IoT …

Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models

I Dijmărescu, M Iatagan, I Hurloiu, M Geamănu… - Oeconomia …, 2022 - ceeol.com
Research background: With growing evidence of biometric identification techniques as
authentication, there is a pivotal need for comprehending contactless payments by use of …

Investigating the customer trust in artificial intelligence: The role of anthropomorphism, empathy response, and interaction

NTK Chi, N Hoang Vu - CAAI Transactions on Intelligence …, 2023 - Wiley Online Library
Artificial intelligence (AI) applications are observed in different industries including the
services, where the impressive changing pace is boosted by the technological advances in …

A survey: To govern, protect, and detect security principles on internet of medical things (iomt)

TA Alhaj, SM Abdulla, MAE Iderss, AAA Ali… - IEEE …, 2022 - ieeexplore.ieee.org
The integration of medical equipment into the Internet of Things (IoT) led to the introduction
of Internet of Medical Things (IoMT). Variation of IoT devices have been equipped in medical …

Novel hybrid intelligent secure cloud internet of things based disease prediction and diagnosis

A Verma, G Agarwal, AK Gupta, M Sain - Electronics, 2021 - mdpi.com
Nowadays, more people are affected by various diseases such as blood pressure, heart
failure, etc. The early prediction of diseases tends to increase the survival of affected …

Gen z and their sustainable shopping behavior in the second-hand clothing segment: Case study of the Slovak Republic

J Mazanec, V Harantová - Sustainability, 2024 - mdpi.com
The fashion industry is an integral part of people's lives with different purchasing behaviors
depending on age and education. In this paper, we focused on the perception of online …

Digital semantics of beauty apps and filters: big data-driven facial retouching, aesthetic self-monitoring devices, and augmented reality-based body-enhancing …

R Mihăilă, L Branişte - Journal of Research in Gender Studies, 2021 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore digital
semantics of beauty apps and filters. With growing evidence of big data-driven facial …

Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections—Performance evaluation

L Ismail, H Materwala, Y Al Hammadi, F Firouzi… - Frontiers in …, 2022 - frontiersin.org
COVID-19 is a contagious disease that has infected over half a billion people worldwide.
Due to the rapid spread of the virus, countries are facing challenges to cope with the …

[HTML][HTML] Develop the hybrid Adadelta Stochastic Gradient Classifier with optimized feature selection algorithm to predict the heart disease at earlier stage

R Senthil, B Narayanan, K Velmurugan - Measurement: Sensors, 2023 - Elsevier
The technique of collecting and analyzing a massive quantity of patient data to obtain
meaningful information was available in a medical big data analysis. In many fields …