Latest AI and machine learning research in nursing for healthcare professionals.
Recent advances of untethered microrobots, which navigate the complex regions in vivo for therapeutics, have presented promising multiple applications on future healthcare. Microrobots used for active drug delivery system (DDS) have been demonstrated for advanced targeting distribution, improved delivery efficiency, and reduced systemic side effects. In this review, the therapeutic benefits of act...
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteric fracture of femur by X-ray film classification and recognition method based on artificial intelligence algorithm. The study subjects were 100 elderly patients with intertrochanteric fracture of femur admitted to hospital. The cases were diagnosed as elderly (over 60 years old) femoral intertrochan...
The objective is to explore the application effect of comprehensive nursing intervention in prevention of lower extremity deep vein thrombosis and pul...
BACKGROUND: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-making in complex care situations or conducting tas...
Global aging is becoming more and more serious, and the nursing problems of the elderly will become very serious in the future. The article designs a ...
This study aims to design a set of the visual artificial intelligence system based on medical information mining for hospital emergency care managemen...
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was ...
There are well-recognized challenges to delivering specialty health care in rural settings. These challenges are particularly evident for specialized...
Adverse nursing events occur suddenly, unpredictably, or unexpectedly during course of clinical diagnosis and treatment processes in the hospitals. Th...
In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thoracic surgery, this study proposed the Da Vinci rob...
BACKGROUND: This investigation assesses the learning curve for dedicated bedside assistance at a facility that recently adopted robot-assisted rectal ...
It was to explore the application of nursing defect management evaluation and deep learning in nursing process reengineering optimization. This study ...
BACKGROUND: Timely recognition of hemodynamic instability in critically ill patients enables increased vigilance and early treatment opportunities. We...
Robotic surgery bedside assistants play an important role in robotic procedures by performing intra-corporeal tasks while accommodating the physical p...
Depressive symptoms, feelings of sadness, anger, and loss that interfere with a person's daily life, are prevalent health concerns across populations ...
BACKGROUND: Humanoid robots with artificial intelligence have been implemented in many healthcare facilities including hospitals, nursing homes, and m...
Thoracic surgery is the main surgical method for the treatment of respiratory diseases and lung diseases, but infections caused by improper care are p...
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) along each patient stay, offering a great opportunity ...
The growing use of robots in nursing and healthcare facilities has prompted increasing research on human-robot interactions. However, specific researc...
Recent research points to the fact that new medical technological innovations are just as relevant in the context of long-term care or chronic care as...