Latest AI and machine learning research in emergency medicine for healthcare professionals.
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical il...
BACKGROUND: Shunt-dependent hydrocephalus significantly complicates subarachnoid hemorrhage (SAH), a...
Predictions related to the impact of AI on radiology as a profession run the gamut from AI putting r...
OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged m...
Advances in nanomedicine, coupled with novel methods of creating advanced materials at the nanoscale...
There is increased utilisation of cytopathology to provide a rapid onsite evaluation (ROSE) of fine ...
OBJECTIVES: We investigated the usefulness of machine learning artificial intelligence (AI) in class...
BACKGROUND: The aims of this study were to determine the predictive value of decision support analys...
BACKGROUND/AIMS: Human grading of digital images from diabetic retinopathy (DR) screening programmes...
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' c...
BACKGROUND: Though lifetime exposure to traumatic events is significant, only a minority of individu...
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial intelligenc...
Relatively little is known about the molecular pathways influenced by cannabis use in humans. We us...
In the past decade, a new approach for quantitative analysis of medical images and prognostic modell...
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmac...
PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative flu...
OBJECTIVE: To establish a model for predicting the outcome according to the clinical and computed to...
Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vesse...
Gait enables individuals to move forward and is considered a natural skill. However, gait disturbanc...
BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significan...
Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including...