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Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility
Likewise, while mobility can be an important indicator of recovery or deterioration in ICU patients, it is only captured sporadically or not captured at all.
Transformers in Healthcare: A Survey
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including healthcare, the adoption of the Transformers neural network architecture is rapidly changing many applications.
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
However, the extent of patient monitoring in the ICU is limited due to time constraints and the workload on healthcare providers.
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
In this paper, we present a machine learning framework for the automatic detection and classification of 15 common cognitive distortions in two novel mental health free text datasets collected from both crowdsourcing and a real-world online therapy program.
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial intelligence for autonomous and granular monitoring of critically ill patients and their environment in the Intensive Care Unit (ICU).
