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Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services
Scandinavian journal of trauma, resuscitation and emergency medicine, 2020-03, Vol.28 (1), p.17-17, Article 17
2020
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Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection
Journal of Korean Medical Science, 2022, 37(16), , pp.1-11
2022
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Development and validation of a deep-learning-based pediatric early warning system: A single-center study
Biomedical Journal, 2022-02, Vol.45 (1), p.155-168
2022
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Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm
Frontiers in cardiovascular medicine, 2022-04, Vol.9, p.865852-865852
2022
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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System
Critical care medicine, 2020-04, Vol.48 (4), p.e285
2020
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A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards
Resuscitation, 2021-06, Vol.163, p.78-85
2021
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Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection
Journal of Korean medical science, 2022-04, p.1-11
2022
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Improving the Performance of a Neural Network for Early Prediction of Sepsis
2019 Computing in Cardiology (CinC), 2019, p.Page 1-Page 4
2019
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Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study
Breast (Edinburgh), 2024-02, Vol.73, p.103599-103599, Article 103599
2024
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Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599]
Breast (Edinburgh), 2024-04, Vol.74, p.103624-103624, Article 103624
2024
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Development of Population-Based Cancer Indicators and a Measurement of Cancer Care Continuum Using a Modified Delphi Method
Cancers, 2021-09, Vol.13 (19), p.4826
2021
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Comparison of Dose Distribution in Regional Lymph Nodes in Whole-Breast Radiotherapy vs. Whole-Breast Plus Regional Lymph Node Irradiation: An In Silico Planning Study in Participating Institutions of the Phase III Randomized Trial (KROG 1701)
Cancers, 2020-11, Vol.12 (11), p.3261
2020
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Smooth particle applied mechanics implemented in the clustered machines with PVM
Proceedings High Performance Computing on the Information Superhighway. HPC Asia '97, 1997, p.661-666
1997
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