Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Showing 2290-2310 of 5,260 articles
Communication with Orthopedic Trauma Patients via an Automated Mobile Phone Messaging Robot.

BACKGROUND: Communication with orthopedic trauma patients is traditionally problematic with low resp...

Silver@ graphene oxide nanocomposite: synthesize and application in removal of imidacloprid from contaminated waters.

Silver@graphene oxide nanocomposite was synthesized through an efficient approach, characterized by ...

Non-Islet Cell Tumor Hypoglycemia: A Rare Cause of Hypoglycemia in Pulmonary Sarcomatoid Cancer.

Non-islet cell tumor hypoglycemia (NICTH) is a rare paraneoplastic condition caused most commonly by...

Spontaneous Intraventricular Hemorrhage: When Should Intraventricular tPA Be Considered?

Spontaneous intracerebral hemorrhage (ICH) is the most common cause of intraventricular hemorrhage (...

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks.

AIM: To identify the extent to which transfer learning from deep convolutional neural networks (CNNs...

Classification of hospital admissions into emergency and elective care: a machine learning approach.

Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healt...

A machine learning approach to triaging patients with chronic obstructive pulmonary disease.

COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could ...

Anti-aging factor, serum alpha-Klotho, as a marker of acute physiological stress, and a predictor of ICU mortality, in patients with septic shock.

PURPOSE: Genetic deletions decreasing serum alpha-Klotho (alpha-KL) have been associated with rapid ...

Preliminary investigation on cytotoxicity of fluorinated polymer nanoparticles.

As well-known persistent organic pollutants (POPs), organofluorine pollutants such as perfluorooctan...

Seeing the forest beyond the trees: Predicting survival in burn patients with machine learning.

BACKGROUND: This study aims to identify predictors of survival for burn patients at the patient and ...

A universal deep learning approach for modeling the flow of patients under different severities.

BACKGROUND AND OBJECTIVE: The Accident and Emergency Department (A&ED) is the frontline for providin...

Target-controlled Infusion Propofol Versus Sevoflurane Anaesthesia for Emergency Traumatic Brain Surgery: Comparison of the Outcomes.

BACKGROUND: The choice of anaesthetic techniques is important for the outcome of traumatic brain inj...

Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the h...

A Biologically Inspired, Functionally Graded End Effector for Soft Robotics Applications.

Soft robotic actuators offer many advantages over their rigid counterparts, but they often are unabl...

Pneumatic Displacement of Submacular Hemorrhage with Subretinal Air and Tissue Plasminogen Activator: Initial United States Experience.

PURPOSE: To present the initial multicenter experience of using subretinal air injection in combinat...

Towards Robot-Assisted Retinal Vein Cannulation: A Motorized Force-Sensing Microneedle Integrated with a Handheld Micromanipulator .

Retinal vein cannulation is a technically demanding surgical procedure where therapeutic agents are ...

A new hand-eye calibration approach for fracture reduction robot.

OBJECTIVE: The hand-eye calibration is used to determine the transformation between the end-effector...

Predicting posttraumatic stress disorder following a natural disaster.

Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subseque...

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