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Challenges with develo** and deploying AI models and applications in industrial systems
The adoption of artificial intelligence into industrial settings promises notable enhancements
in productivity, quality, efficiency, competitiveness, and innovations. However, transitioning …
in productivity, quality, efficiency, competitiveness, and innovations. However, transitioning …
Women in engineering, science and technology in sub-Saharan Africa: cultural attitudes, challenges, and gaps affecting clinical engineering and medical devices …
Purpose From previous studies, we had observed that the number of biomedical engineers
and technicians (BMETs) skilled in the maintenance of medical devices (MDs) were limited …
and technicians (BMETs) skilled in the maintenance of medical devices (MDs) were limited …
Empowering Predictive Maintenance of Medical Equipment Through AI-Driven Condition Monitoring
This chapter explores the evolution of maintenance strategies for medical equipment in
healthcare, focusing on the transition from reactive approaches to predictive maintenance …
healthcare, focusing on the transition from reactive approaches to predictive maintenance …
Predictive Healthcare Analytics
U Eswaran, V Eswaran, K Murali… - … the Advancements and …, 2024 - igi-global.com
The integration of digital twin technology with healthcare systems promises to revolutionize
clinical decision-making and patient outcomes in Healthcare 6.0. This chapter explores …
clinical decision-making and patient outcomes in Healthcare 6.0. This chapter explores …
Empowering Predictive Maintenance of Medical Equipment Through AI-Driven Condition Monitoring
This chapter explores the evolution of maintenance strategies for medical equipment in
healthcare, focusing on the transition from reactive approaches to predictive maintenance …
healthcare, focusing on the transition from reactive approaches to predictive maintenance …
[CYTOWANIE][C] DiscoverArtificial Intelligence
S Sinha, YM Lee - Discover, 2024