Artificial intelligence and machine learning in emergency medicine

Decoding diagnosis and lifetime consumption in alcohol dependence from grey-matter pattern information

(2018) M. Guggenmos et al.   ACTA PSYCHIATRICA SCANDINAVICA

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index

(2018) Scott Levin et al.   ANNALS OF EMERGENCY MEDICINE

Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques

(2018) Monika Simjanoska et al.   SENSORS

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

(2018) Qingqing Mao et al.   BMJ Open

Survival prediction of trauma patients: a study on US National Trauma Data Bank

(2017) I. Sefrioui et al.   European Journal of Trauma and Emergency Surgery

Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study

(2017) Roni Shouval et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics

(2017) Supreeth P. Shashikumar et al.   JOURNAL OF ELECTROCARDIOLOGY

Dynamic Forecasting of Zika Epidemics Using Google Trends

(2017) Yue Teng et al.   PLoS One

A study of the transferability of influenza case detection systems between two large healthcare systems

(2017) Ye Ye et al.   PLoS One

Performance of e-ASPECTS software in comparison to that of stroke physicians on assessing CT scans of acute ischemic stroke patients

(2016) Christian Herweh et al.   International Journal of Stroke

Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images

(2016) Phillip M. Cheng et al.   JOURNAL OF DIGITAL IMAGING

Learning temporal rules to forecast instability in continuously monitored patients

(2016) Mathieu Guillame-Bert et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Image Segmentation and Machine Learning for Detection of Abdominal Free Fluid in Focused Assessment With Sonography for Trauma Examinations

(2016) Anna R. Sjogren et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Fall Detection Using Smartphone Audio Features

(2016) Michael Cheffena   IEEE Journal of Biomedical and Health Informatics

Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes

(2016) Sharad Shandilya et al.   PLoS One

Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza

(2016) Chris Allen et al.   PLoS One

Predicting asthma control deterioration in children

(2015) Gang Luo et al.   BMC Medical Informatics and Decision Making

Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients

(2015) Tianchi Liu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain

(2015) Christian Knackstedt et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

The use of dynamic susceptibility contrast (DSC) MRI to automatically classify patients with first episode psychosis

(2015) Letizia Squarcina et al.   SCHIZOPHRENIA RESEARCH

Computerised Analysis of Telemonitored Respiratory Sounds for Predicting Acute Exacerbations of COPD

(2015) Miguel Fernandez-Granero et al.   SENSORS

Individual-Specific, Beat-to-beat Trending of Significant Human Blood Loss

(2015) Victor A. Convertino et al.   SHOCK

Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible

(2014) Mikael Persson et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score

(2014) Nan Liu et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

The Reliability of Tweets as a Supplementary Method of Seasonal Influenza Surveillance

(2014) Anoshé A Aslam et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Utility of Vital Signs, Heart Rate Variability and Complexity, and Machine Learning for Identifying the Need for Lifesaving Interventions in Trauma Patients

(2014) Nehemiah T. Liu et al.   SHOCK

A Machine Learning Approach to Improve Contactless Heart Rate Monitoring Using a Webcam

(2014) Hamed Monkaresi et al.   IEEE Journal of Biomedical and Health Informatics

Estimation of individual-specific progression to impending cardiovascular instability using arterial waveforms

(2013) Victor A. Convertino et al.   JOURNAL OF APPLIED PHYSIOLOGY

Promoting early diagnosis of hemodynamic instability during simulated hemorrhage with the use of a real-time decision-assist algorithm

(2013) Gary W. Muniz et al.   Journal of Trauma and Acute Care Surgery