Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

A Scalable Data Science Platform for Healthcare and Precision Medicine Research (Preprint)

(2019) Jacob McPadden et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Early Administration of Antibiotics for Suspected Sepsis

(2019) Michael Y. Mi et al.   NEW ENGLAND JOURNAL OF MEDICINE

Artificial Intelligence in Health Care

(2019) Ezekiel J. Emanuel et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Clinical considerations when applying machine learning to decision-support tasks versus automation

(2019) Trevor Jamieson et al.   BMJ Quality & Safety

Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence

(2019) Shantanu Nundy et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial Intelligence and the Implementation Challenge

(2019) James Shaw et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock

(2019) Heather M. Giannini et al.   CRITICAL CARE MEDICINE

Prognostic models will be victims of their own success, unless…

(2019) Matthew C Lenert et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Do no harm: a roadmap for responsible machine learning for health care

(2019) Jenna Wiens et al.   NATURE MEDICINE

Sepsis Rapid Response Teams

(2018) Tammy Ju et al.   CRITICAL CARE CLINICS

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU

(2018) Shamim Nemati et al.   CRITICAL CARE MEDICINE

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

Prehospital antibiotics in the ambulance for sepsis: a multicentre, open label, randomised trial

(2018) Nadia Alam et al.   Lancet Respiratory Medicine

Antibiotics for Sepsis—Finding the Equilibrium

(2018) Michael Klompas et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

(2018) Milena A. Gianfrancesco et al.   JAMA Internal Medicine

Machine learning for real-time prediction of complications in critical care: a retrospective study

(2018) Alexander Meyer et al.   Lancet Respiratory Medicine

Ensuring Fairness in Machine Learning to Advance Health Equity

(2018) Alvin Rajkomar et al.   ANNALS OF INTERNAL MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study

(2018) Kristin M. Corey et al.   PLOS MEDICINE

Deep Learning in Medicine—Promise, Progress, and Challenges

(2018) Fei Wang et al.   JAMA Internal Medicine

Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration*

(2018) Armando D. Bedoya et al.   CRITICAL CARE MEDICINE

Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016

(2017) Andrew Rhodes et al.   INTENSIVE CARE MEDICINE

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Managing sepsis: Electronic recognition, rapid response teams, and standardized care save lives

(2017) Faheem W. Guirgis et al.   JOURNAL OF CRITICAL CARE

Poor performance of quick-SOFA (qSOFA) score in predicting severe sepsis and mortality – a prospective study of patients admitted with infection to the emergency department

(2017) Åsa Askim et al.   Scandinavian Journal of Trauma Resuscitation & Emergency Medicine

Barriers to Achieving Economies of Scale in Analysis of EHR Data

(2017) Mark Sendak et al.   Applied Clinical Informatics

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach

(2016) R. Andrew Taylor et al.   ACADEMIC EMERGENCY MEDICINE

A computational approach to early sepsis detection

(2016) Jacob S. Calvert et al.   COMPUTERS IN BIOLOGY AND MEDICINE

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

(2016) Mervyn Singer et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

A targeted real-time early warning score (TREWScore) for septic shock

(2015) Katharine E. Henry et al.   Science Translational Medicine

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

(2015) Constance D. Lehman et al.   JAMA Internal Medicine

Identifying Severe Sepsis via Electronic Surveillance

(2014) Bristol N. Brandt et al.   AMERICAN JOURNAL OF MEDICAL QUALITY

Development, implementation, and impact of an automated early warning and response system for sepsis

(2014) Craig A. Umscheid et al.   Journal of Hospital Medicine

Implementing the Learning Health System: From Concept to Action

(2013) Sarah M. Greene et al.   ANNALS OF INTERNAL MEDICINE

Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

(2013) Ewout W. Steyerberg et al.   PLOS MEDICINE

Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

(2009) Laura J Damschroder et al.   Implementation Science