Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing field, but quality and clinical utility of existing models are unclear. This systematic review aimed to evaluate performance, methodological quality, and risk of bias of EHR-based dementia prediction models. MATERIALS AND METHODS: We systematically searched Medline, EMBASE, Scopus, IEEE Xplore, and A...
AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing support along an interprofessional nutritional standard. DESIGN: A qualitative study using focus group discussions and an inductive approach to data analysis based on Braun and Clarke's reflexive thematic analysis. METHODS: Three focus groups were conducted with nurses from a large tertiary hospital...
PURPOSE: Accurate prediction of the laser energy absorption and corresponding thermal spread is essential for safe and effective outcomes in magnetic ...
OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp i...
BACKGROUND: Despite the transformative potential of large language models (LLMs) in health care, the rapid development of these tools has outpaced the...
BACKGROUND: Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decisi...
Capsule endoscopy has transformed small bowel evaluation but remains limited for gastric examination because of passive, peristalsis dependent movemen...
Periprosthetic joint infections (PJIs) are a serious complication in both primary arthroplasty and revision arthroplasty, posing a major challenge in ...
Carotid atherosclerosis is a major cause of ischemic stroke, historically managed according to luminal stenosis severity. However, stenosis alone fail...
Surgical complications remain a major source of preventable morbidity, mortality, and health care expenditure, but existing frameworks such as the Cla...
BACKGROUND: Sickle cell disease (SCD) is a genetic blood disorder affecting millions globally, with life-threatening complications, and most patients ...
The integration of artificial intelligence (AI) into infection surveillance represents a significant shift in public health; however, most AI framewor...
Fecalith-associated appendicitis presents unique challenges in conservative management due to increased perforation risk. Early identification of pati...
Multi-view learning capitalizes the multiple representations of data and integrates their heterogeneous information to improve the learning performanc...
OBJECTIVES: Approximately 6.9% of children in the United Kingdom have suffered physical abuse. Fractures are a common sign and must not be overlooked ...
Employee Assistance Program (EAP)s provide critical mental health support, yet utilization remains low in both Canada and the United States. Although ...
Raman spectroscopy has demonstrated significant potential for rapid bacterial identification; however, bacterial spectral signatures are frequently co...
MRI has a central role in the diagnosis and management of prostate cancer, including active surveillance (AS) of low- and favourable intermediate-risk...
Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective o...
Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyroid cancer. Thyroid nodules in children present a h...