Latest AI and machine learning research in nursing for healthcare professionals.
OBJECTIVE: To summarize evidence for use of advanced MRI techniques as monitoring biomarkers in the clinic, and to highlight the latest bench-to-bedside developments.
Presently, colorectal cancer is the second most dangerous cancer; around 13% of people have been affected; and it requires an effective image analysis and earlier cancer prediction (IAECP) system for reducing the mortality rate. Here, the IAECP system uses MRI radio imaging for predicting colorectal cancer. During this process, high- and low-level features are required to examine cancer in an earl...
With the increasingly serious population aging, economic system transformation, and social transformation, the elderly have an increasingly strong dem...
PURPOSE: The objective of this study was to compare perioperative outcomes and total and split renal function between laparoscopic partial nephrectomy...
BACKGROUND: Microscopic examination of human blood samples is an excellent opportunity to assess general health status and diagnose diseases. Conventi...
This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new a...
OBJECTIVE: Hypoxia presents a salient feature investigated in most solid tumors that holds key roles in cancer progression, including glioblastoma mul...
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify...
The study aimed to establish a machine learning-based scoring nomogram for early recognition of likely pressure injuries in an intensive care unit (IC...
The objective of this study was to explore the application value of digital subtraction angiography (DSA) images optimized by deep learning algorithms...
examine the challenges in developing AI tools for use at point of care
BACKGROUND: For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the h...
BACKGROUND: Emergency department (ED) crowding has resulted in delayed patient treatment and has become a universal health care problem. Although a tr...
The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development. In turn, some long-stan...
Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a form of radioguided cancer surgery, showing promis...
In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultr...
BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing gr...
This study aimed to explore meaningful experiences of older Taiwanese adults who had received a Paro (social robot) companion. Semi-structured qualita...
Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount significance in providing timely care. However, t...