J Konopik, D Blunck - Journal of medical Internet research, 2023 - jmir.org
Background Digital transformation is currently one of the most influential developments. It is fundamentally changing consumers' expectations and behaviors, challenging traditional …
The increase in the demands for surveillance of chronic diseases, long-term care, and self- health management has allowed mobile smart health wearable devices to become products …
Health care monitoring systems have mainly depended on the internet of things (IoT) devices to collect, manage and analyze data from patients. Patients' health can be …
A Gorkhali - Journal of Industrial Integration and Management, 2022 - World Scientific
Industry 4.0 has revolutionized the traditional production line toward smart factories in a sustainable environment. It represents an intelligent manufacturing network, where …
The increasing prevalence of dementia has necessitated the introduction and use of healthcare wearable devices to augment the healthcare services delivered to people with …
In healthcare, machine learning (ML) shows significant potential to augment patient care, improve population health, and streamline healthcare workflows. Realizing its full potential …
P Fechner, F König, J Lockl, M Röglinger - Business & Information Systems …, 2024 - Springer
Artificial intelligence (AI) has significantly advanced healthcare and created unprecedented opportunities to enhance patient-centeredness and empowerment. This progress promotes …
Machine learning (ML) in healthcare presents numerous opportunities for enhancing patient care, population health, and healthcare providers' workflows. However, the real-world …
In the present era of technological advancement and rapid change, mankind faces different kinds of challenges. The product lifecycle has been shortened dramatically, and the …