Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms.
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Hui Wang | Daniel Guldenring | Raymond R Bond | Victoria McGilligan | Marek Malik | James McLaughlin | Aaron Peace | Stephen J Leslie | Tomas Novotny | Dewar Finlay | Irena Andrsova | Lumir Koc | Martina Sisakova | M. Malik | Hui Wang | D. Finlay | R. Bond | D. Guldenring | V. Mcgilligan | A. Peace | S. Leslie | J. Mclaughlin | T. Novotný | Irena Andršová | M. Sisakova | L. Koc | I. Andršová
[1] Raja Chatila,et al. The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems [Standards] , 2017, IEEE Robotics Autom. Mag..
[2] D Guldenring,et al. The effects of electrode misplacement on clinicians' interpretation of the standard 12-lead electrocardiogram. , 2012, European journal of internal medicine.
[3] R R Bond,et al. Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach. , 2014, Journal of electrocardiology.
[4] Raymond R. Bond,et al. The role of computerized diagnostic proposals in the interpretation of the 12-lead electrocardiogram by cardiology and non-cardiology fellows , 2017, Int. J. Medical Informatics.
[5] Dewar D. Finlay,et al. Variable diagnostic accuracy in reading ECGs in a nurse-led primary PCI pathway , 2017 .
[6] Dewar D. Finlay,et al. Human factors analysis of the CardioQuick Patch®: A novel engineering solution to the problem of electrode misplacement during 12-lead electrocardiogram acquisition. , 2016, Journal of electrocardiology.
[7] Raja Parasuraman,et al. Performance Consequences of Automation-Induced 'Complacency' , 1993 .
[8] Nadine B. Sarter,et al. Supporting Trust Calibration and the Effective Use of Decision Aids by Presenting Dynamic System Confidence Information , 2006, Hum. Factors.
[9] Daniel Guldenring,et al. Using computerised interactive response technology to assess electrocardiographers and for aggregating diagnoses. , 2015, Journal of electrocardiology.
[10] Daniel Guldenring,et al. A decision support system and rule-based algorithm to augment the human interpretation of the 12-lead electrocardiogram. , 2017, Journal of electrocardiology.
[11] Raymond R. Bond,et al. A computer-human interaction model to improve the diagnostic accuracy and clinical decision-making during 12-lead electrocardiogram interpretation , 2016, J. Biomed. Informatics.
[12] Daniel Guldenring,et al. Methods for presenting and visualising electrocardiographic data: From temporal signals to spatial imaging. , 2013, Journal of electrocardiology.
[13] Daniel Guldenring,et al. Effects of electrode placement errors in the EASI-derived 12-lead electrocardiogram. , 2010, Journal of electrocardiology.
[14] Dewar D. Finlay,et al. ECG recording sites for improving signal-to-noise ratio during atrial depolarisation , 2014, Computing in Cardiology 2014.
[15] Daniel Guldenring,et al. A simulation tool for visualizing and studying the effects of electrode misplacement on the 12-lead electrocardiogram. , 2011, Journal of electrocardiology.
[16] D. Kahneman. Thinking, Fast and Slow , 2011 .
[17] Max Kuhn,et al. The caret Package , 2007 .
[18] Abdul V. Roudsari,et al. Automation bias: a systematic review of frequency, effect mediators, and mitigators , 2012, J. Am. Medical Informatics Assoc..
[19] Daniel Guldenring,et al. Data analysis of diagnostic accuracies in 12-lead electrocardiogram interpretation by junior medical fellows. , 2015, Journal of electrocardiology.