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1.
Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study.
J Med Internet Res
; 24(7): e37928, 2022 07 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-35896020
2.
Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection.
J Korean Med Sci
; 37(16): e122, 2022 Apr 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35470597
3.
A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation.
Korean J Physiol Pharmacol
; 26(3): 195-205, 2022 May 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35477547
4.
Artificial intelligence for detecting electrolyte imbalance using electrocardiography.
Ann Noninvasive Electrocardiol
; 26(3): e12839, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33719135
5.
Detection and classification of arrhythmia using an explainable deep learning model.
J Electrocardiol
; 67: 124-132, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34225095
6.
Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments.
Pediatr Emerg Care
; 37(12): e988-e994, 2021 Dec 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31268962
7.
Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record.
Crit Care Med
; 48(11): e1106-e1111, 2020 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-32947466
8.
Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.
Crit Care Med
; 48(4): e285-e289, 2020 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32205618
9.
Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography.
Europace
; 22(3): 412-419, 2020 03 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31800031
10.
Artificial intelligence for detecting mitral regurgitation using electrocardiography.
J Electrocardiol
; 59: 151-157, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32146201
11.
Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.
Echocardiography
; 36(2): 213-218, 2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30515886
12.
Artificial intelligence using electrocardiography: strengths and pitfalls.
Eur Heart J
; 42(30): 2896-2898, 2021 08 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33748841
13.
Deep learning model integrating radiologic and clinical data to predict mortality after ischemic stroke.
Heliyon
; 10(10): e31000, 2024 May 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-38826743
14.
Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables.
Intern Med
; 63(6): 773-780, 2024 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37558487
15.
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning-based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department.
Clin Exp Emerg Med
; 10(4): 438-445, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-38012820
16.
Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors.
Korean Circ J
; 53(11): 758-771, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37973386
17.
Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy.
Am J Obstet Gynecol MFM
; 5(12): 101184, 2023 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37863197
18.
An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period.
Int J Cardiol
; 352: 72-77, 2022 Apr 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35122911
19.
Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG.
Diagnostics (Basel)
; 12(3)2022 Mar 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35328207
20.
Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study.
PLoS One
; 17(8): e0272055, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35944013