Emergency Medicine

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

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Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing.

CONTEXT.—: Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and...

[Application of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients].

To investigate the diagnostic efficacy and potential application value of deep learning-based chest...

[Overview of machine learning and its application in the management of emergency services].

The processes associated with health care generate a large amount of information that is difficult t...

[Lateral Port Site Hernia Following Robot Assisted Laparoscopic Radical Prostatectomy : A Case Report and Literature Review].

The patient was a 69-year-old man with localized cT1cN0M0 prostate cancer, who underwent robotassist...

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

The future of gastrointestinal bleeding will include the integration of machine learning algorithms ...

Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography.

PURPOSE: The ability to reliably distinguish benign from malignant solid liver lesions on ultrasonog...

Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock.

INTRODUCTION: The emergence of more complex Prolonged Field Care in austere settings and the need to...

Early Detection of Hypotension Using a Multivariate Machine Learning Approach.

INTRODUCTION: The ability to accurately detect hypotension in trauma patients at the earliest possib...

End-stage renal disease at dialysis initiation: Epidemiology and mortality risks during the first year of hemodialysis.

Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem...

Seasonal variation in heat shock proteins (hsp70 and hsp90) and their association with frozen semen quality and fertility in buffaloes.

BACKGROUND: Heat shock protein is considered as a potential indicator of animal adaptation to harsh ...

AI (artificial intelligence)-assisted planning within emergency management operations.

There is a demand for future technologies to be embedded within emergency management operations. Art...

Characterizing Opioid Overdoses Using Emergency Medical Services Data : A Case Definition Algorithm Enhanced by Machine Learning.

OBJECTIVES: Tracking nonfatal overdoses in the escalating opioid overdose epidemic is important but ...

Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage.

BACKGROUND: Doctors with various specializations and experience order brain computed tomography (CT)...

A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning.

BACKGROUND: The need for accurate and timely detection of Intracranial hemorrhage (ICH) is of utmost...

Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision Diagnosis.

To date, widely generalizable artificial intelligence (AI) programs for medical image analysis have ...

Applications of Artificial Intelligence in Breast Imaging.

Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive...

Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machi...

Mechanisms of collision recovery in flying beetles and flapping-wing robots.

At rest, beetles fold and tuck their hindwings under the elytra. For flight, the hindwings are deplo...

[Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].

To establish an artificial intelligence burn depth recognition model based on convolutional neural ...

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