Emergency Medicine Journal · 2022 · 35 citations · 17 references
ComputingEmergency MedicineHealth InformaticsArtificial IntelligenceClinical InformaticsMachine LearningClinical Natural Language ProcessingDeep LearningExplainable Machine LearningMedical EmergenciesMedical Image AnalysisNeural NetworksBayesian Deep LearningDeep Learning DiagnosticsDeep Learning For Health MonitoringDeep Learning-based DiagnosisEmergency Medicine SimulationMachine Learning DiagnosticsMachine Learning For Health MonitoringMachine Learning For Healthcare
The field of artificial intelligence (AI) has been developing more prominently for over half a century. Innovations in computer processing power and analytical capabilities coupled with the availability of huge amounts of routinely collected data has meant that AI research and technology development has grown exponentially in recent years. The results of this growth can be seen in emergency medicine (EM)—with the Food and Drug Administration approving the first AI software as a medical device for wrist fracture detection in 2018. As of 2021, several more have been approved—for triage, X-ray identification of pneumothorax and notification and triage software for CT images.
17
Artificial intelligence, bias and clinical safety
Robert Challen, Joshua C. Denny, Martin Pitt et al. · BMJ Quality & Safety · 2019 · 903 citations · Full text
Investigating sources of inaccuracy in wearable optical heart rate sensors
Brinnae Bent, Benjamin A. Goldstein, Warren A. Kibbe et al. · npj Digital Medicine · 2020 · 645 citations · Full text
Deep neural network improves fracture detection by clinicians
Robert Lindsey, Aaron Daluiski, Sumit Chopra et al. · Proceedings of the National Academy of Sciences · 2018 · 617 citations · Full text