Latest AI and machine learning research in emergency medicine for healthcare professionals.
Chest radiography is the modality of choice for the identification of rib fractures in young childre...
The last decade has seen significant advances in the accumulation of medical data, the computational...
OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protoco...
BACKGROUND: Artificial intelligence applications have gained traction in the field of cerebrovascula...
The use of nanomaterials in medicine depends largely on nanotoxicological evaluation in order to ens...
BACKGROUND: Advances have been made in the use of artificial intelligence (AI) in the field of diagn...
Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can...
OBJECTIVE: In this proof-of-concept study, we aimed to develop deep-learning-based classifiers to id...
Cannulated screw fixation is the main therapy for femoral neck fractures, especially in young patien...
BACKGROUND: There is an urgent need to find an effective and accurate method for triaging coronaviru...
In 1971, the first computed tomography (CT) scan was performed on a patient's brain. Clinical CT sys...
PURPOSE: The present study aims to assess whether CT-derived muscle mass, muscle density, and viscer...
OBJECTIVE: Perilunate injuries are rare but devastating carpal injuries. The treatment of perilunate...
IMPORTANCE: Artificial intelligence (AI) enables powerful models for establishment of clinical diagn...
BACKGROUND: Whether primary brainstem hemorrhage (PBH) should be treated with a conservative treatme...
Susceptibility-weighted imaging (SWI) is a MR imaging technique suited to detect structural and micr...
BACKGROUND: Evaluating the impact of environmental exposures on organism health is a key goal of mod...
University emergency management ability is an important part of university safety management. To eva...
Robot-assisted surgery offers many advantages with respect to precision and facilitation in medicine...