Latest AI and machine learning research in nursing for healthcare professionals.
De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informatics for Integrating Biology and Bedside) clinical natural language processing (NLP) challenge sets up a track for de-identification (track 1). In this ...
OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents with moderate to severe dementia participating in a robot-assisted group activity with the robot seal Paro.
AIM: We recently reported that a companion robot reduced residents' loneliness in a randomised controlled trial at an aged-care facility. This report ...
Current medical information systems are too complex to be meaningfully exploited. Hence there is a need to develop new strategies for maximising the e...
UNLABELLED: Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder coho...
Assistive technologies are often considered to be passive tools implemented in targeted processes. Our previous study of the implementation of the rob...
Continued advancement in pluripotent stem cell culture is closing the gap between bench and bedside for using these cells in regenerative medicine, dr...
BACKGROUND: Delivering healthcare using remote robotic telepresence is an evolving practice in medical and surgical intensive critical care units and ...
In Western countries, assistive technology is implemented on a large scale in elder care settings. Only a few studies have attempted to explore the di...
PURPOSE: We compared perioperative and long-term renal functional outcomes of robot-assisted partial nephrectomy (RAPN) with laparoscopic partial neph...
CONTEXT: Robotic partial nephrectomy (RPN) is rapidly increasing; however, the benefit of RPN over laparoscopic partial nephrectomy (LPN) is controver...
OBJECTIVES: To evaluate the learning curve of robot-assisted partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (LPN) between two surgeon...
OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HH...
Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care in teaching and community hospitals. However, the i...
A new non-pharmacological method of distraction was tested with 57 children during their annual flu vaccination. Given children's growing enthusiasm f...
We propose a societal bias evaluation method for large vision-language models (LVLMs) in the era of strong safety guardrails. Existing benchmarks rely...
Neonatal mortality risk prediction from bedside monitoring data remains challenging due to extreme class imbalance, heterogeneous clinical risk factor...
Healthcare documentation in the neonatal intensive care unit (NICU) presents significant challenges, with nurses spending approximately 25\% of their ...
Connected speech is essential for everyday communication, but clinical constraints and patient fatigue limit detailed evaluation in acute stroke (<1-w...
Causal inference has traditionally centered on scalar outcomes: whether a patient recovers, how much a worker earns, or how many visits a website rece...