Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
Algorithmic versus human advice: does presenting prediction performance matter for algorithm appreciation?
We propose a theoretical model based on the judge-advisor system (JAS) and empirically
examine how algorithmic advice, compared to identical advice from humans, influences …
examine how algorithmic advice, compared to identical advice from humans, influences …
The role of artificial intelligence algorithms in information systems research: a conceptual overview and avenues for research
D Bendig, A Bräunche - Management Review Quarterly, 2024 - Springer
Artificial intelligence (AI) has made remarkable progress in the past decade. Despite the
plethora of AI research, we lack an accrued overview of the extent to which management …
plethora of AI research, we lack an accrued overview of the extent to which management …
A practical wearable fall detection system based on tiny convolutional neural networks
Falls are a major public health problem in a rapidly aging society due to their high
prevalence and severe consequences among the older population. Therefore, automatic fall …
prevalence and severe consequences among the older population. Therefore, automatic fall …
Why do family members reject AI in health care? Competing effects of emotions
Artificial intelligence (AI) enables continuous monitoring of patients' health, thus improving
the quality of their health care. However, prior studies suggest that individuals resist such …
the quality of their health care. However, prior studies suggest that individuals resist such …
Digital Phenotyping-based depression detection in the presence of comorbidity: An uncertainty reasoning approach
F Peng, D Zhang, Z Yan - Journal of Management Information …, 2024 - Taylor & Francis
Depression is a growing health and societal problem that has become increasingly
prevalent and burdensome. The detection or diagnosis of depression has been very …
prevalent and burdensome. The detection or diagnosis of depression has been very …
Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach
Whereas modern medicine has enabled humans to live longer and more robust lives, recent
years have seen a significant increase in chronic care costs. The prevention of threats to …
years have seen a significant increase in chronic care costs. The prevention of threats to …
A hybrid feature fusion deep learning framework for multi-source medical image analysis
Q Cao, X Cheng - Information Processing & Management, 2025 - Elsevier
Despite the widespread adoption of deep learning to enhance image classification,
significant obstacles remain. First, multisource data with diverse sizes and formats is a great …
significant obstacles remain. First, multisource data with diverse sizes and formats is a great …
How Artificial Intelligence Challenges Tailorable Technology Design: Insights from a Design Study on Individualized Bladder Monitoring
Artificial intelligence (AI) has significantly advanced healthcare and created unprecedented
opportunities to enhance patient-centeredness and empowerment. This progress promotes …
opportunities to enhance patient-centeredness and empowerment. This progress promotes …
[PDF][PDF] 老年数字化健康管理研究进展
葛振兴， 李晓光， 王慧 - 生命科学, 2023 - lifescience.sinh.ac.cn
当前数字健康技术发展迅速, 逐渐延伸到健康服务各个领域. 通过推动数字健康技术深度融入
老年健康管理, 探索老年数字化健康管理模式, 从而为老年人群提供更加便捷 …
老年健康管理, 探索老年数字化健康管理模式, 从而为老年人群提供更加便捷 …