[HTML][HTML] Current and potential applications of artificial intelligence in medical imaging practice: A narrative review

J Potočnik, S Foley, E Thomas - Journal of Medical Imaging and Radiation …, 2023 - Elsevier
Background and purpose Artificial intelligence (AI) is present in many areas of our lives.
Much of the digital data generated in health care can be used for building automated …

Predictive maintenance in healthcare system: a survey

O Manchadi, FE Ben-Bouazza, B Jioudi - IEEE Access, 2023 - ieeexplore.ieee.org
Medical devices are a vital component of healthcare systems, the advantages they may give
continue to grow as they are crucial for the safe and effective prevention, diagnosis …

Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance

AH Zamzam, K Hasikin, AKA Wahab - Engineering Applications of Artificial …, 2023 - Elsevier
The study aims to develop the failure analysis predictive models, which prognosticate first
failure event (FFE), failure-to-year ratio (FYR), and failure rectification group (FRG). The …

Critical device reliability assessment in healthcare services

NH Abd Rahman, AK Ibrahim, K Hasikin… - Journal of …, 2023 - Wiley Online Library
Medical device reliability is the ability of medical devices to endure functioning and is
indispensable to ensure service delivery to patients. Preferred Reporting Items for …

[PDF][PDF] Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management

NH Abd Rahman, MHM Zaki, K Hasikin… - PeerJ Computer …, 2023 - peerj.com
Background The advancement of biomedical research generates myriad healthcare-
relevant data, including medical records and medical device maintenance information. The …

Medical device failure predictions through AI-Driven analysis of Multimodal Maintenance Records

NH Abd Rahman, K Hasikin, NA Abd Razak… - IEEE …, 2023 - ieeexplore.ieee.org
Medical device failure and maintenance records are essential information, as some nations
lack dedicated systems for capturing this valuable data. In addition to making healthcare …

Predict the priority of end-users' maintenance requests and the required technical staff through LSTM and Bi-LSTM recurrent neural networks

M D'Orazio, G Bernardini, E Di Giuseppe - Facilities, 2023 - emerald.com
Predict the priority of end-users’ maintenance requests and the required technical staff through
LSTM and Bi-LSTM recurrent neural networks | Emerald Insight Books and journals Case …

Automated analysis and assignment of maintenance work orders using natural language processing

Y Li, Y Liu, J Zhang, L Cao, Q Wang - Automation in Construction, 2024 - Elsevier
Maintenance management forms a core component of building facility management, which
is particularly important for specialized and complex healthcare facilities. However, existing …

[PDF][PDF] Strategies for optimizing the management of medical equipment in large healthcare institutions

MC Kelvin-Agwu, MO Adelodun, GT Igwama… - Strategies, 2024 - researchgate.net
This review paper examines the critical role of biomedical engineers in managing medical
equipment within large healthcare institutions. It highlights the responsibilities of biomedical …

Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices

NH Abd Wahab, K Hasikin, KW Lai, K Xia, L Bei… - PeerJ Computer …, 2024 - peerj.com
Background Maintaining machines effectively continues to be a challenge for industrial
organisations, which frequently employ reactive or premeditated methods. Recent research …