A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Currently, many critical care indices are not captured automatically at a granular level, rather
are repetitively assessed by overburdened nurses. In this pilot study, we examined the …

Rationale: Poor sleep quality is common in the intensive care unit (ICU) and may be
associated with adverse outcomes. Hence, ICU-based efforts to promote sleep are gaining …

Early and frequent patient mobilization substantially mitigates risk for post-intensive care
syndrome and long-term functional impairment. We developed and tested computer vision …

One in twenty-five patients admitted to a hospital will suffer from a hospital acquired
infection. If we can intelligently track healthcare staff, patients, and visitors, we can better …

Automatic recognition of surgical activities in the operating room (OR) is a key technology for
creating next generation intelligent surgical devices and workflow monitoring/support …

Early-life exposure to stress results in significantly increased risk of neurodevelopmental
impairments with potential long-term effects into childhood and even adulthood. As a crucial …