Latest AI and machine learning research in emergency medicine for healthcare professionals.
OBJECTIVE: Emergency department (ED) encounters represent valuable opportunities to initiate evidence-based treatments for patients with opioid misuse, but few receive such care. Universal manual screening has been proposed to improve patient identification but is uncommon due to its time and resource-intensive nature. We sought to determine the feasibility of identifying patients with opioid misu...
PURPOSE: To evaluate the performance of a deep learning (DL) model in classifying diabetic retinopathy (DR) severity using fundus images with varying fields of view and to assess whether central retinal features alone reflect overall disease burden. The study also investigates vascular biomarkers within regions contributing to model decisions to explore biological basis of inferences and enhance c...
Muscle degenerative conditions, including sarcopenia, muscular dystrophies, and trauma-induced muscle loss, severely compromise mobility, metabolism, ...
In the evaluation of drugs/cosmetics toxicology/efficacy on livings, rapid assessment of inflammatory responses in zebrafish models is critical but hi...
Older people living with falls and frailty are common in emergency attendances, admissions and functional decline. Artificial intelligence (AI) and ma...
BACKGROUND: A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge, which may increase risks of morbidity, mortality...
IMPORTANCE: A deep learning (DL) model capable of analyzing optical coherence tomography (OCT) 3-dimensional (3D) scans from various vendors is essent...
BACKGROUND: First responders, such as firefighters, experience significant mental health issues due to the high-stress nature of their work. Existing ...
AI has been proposed as a triage or "rule-out" device to reduce radiologist workload, but it is presently unclear how an AI "rule-out" threshold shoul...
Artificial intelligence (AI) is increasingly shaping emergency musculoskeletal imaging, where rapid and accurate diagnosis is often challenged by high...
Microplastic (MP) pollution poses increasing environmental and food safety risks, yet the role of hydrodynamics in MPs bioaccumulation and fish physio...
Traumatic brain injury is a significant concern in contact sports, with concussions being the most common type. Kabaddi, a high-contact sport, carries...
Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict lumbar spine bone mineral density (BMD) from CT im...
Accurate body weight measurement is essential for determining the appropriate dose of contrast agent in contrast-enhanced computed tomography (CT) exa...
Patient's unique information needs about their hospitalization can be addressed using clinical evidence from electronic health records (EHRs) and arti...
Accurate prediction of formation pore pressure and fracture gradient is essential for safe mud-weight selection and wellbore stability, especially in ...
Active solids using energy influx to generate non-equilibrium forces undergo spontaneous mechanical failure, but how topological defects concentrate i...
BACKGROUND: Artificial Intelligence tools such as ChatGPT are increasingly used by laypeople to support their care-seeking decisions, although the acc...