Detalhe da pesquisa
1.
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk.
J Electrocardiol
; 76: 61-65, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36436476
2.
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.
Circulation
; 143(13): 1287-1298, 2021 03 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-33588584
3.
Objective assessment of surgical skill transfer using non-invasive brain imaging.
Surg Endosc
; 33(8): 2485-2494, 2019 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-30334166
4.
Convergent validation and transfer of learning studies of a virtual reality-based pattern cutting simulator.
Surg Endosc
; 32(3): 1265-1272, 2018 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28812196
5.
Face and content validation of a Virtual Translumenal Endoscopic Surgery Trainer (VTEST™).
Surg Endosc
; 30(12): 5529-5536, 2016 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27129546
6.
A comparison of NOTES transvaginal and laparoscopic cholecystectomy procedures based upon task analysis.
Surg Endosc
; 28(8): 2443-51, 2014 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-24619331
7.
Needs analysis for developing a virtual-reality NOTES simulator.
Surg Endosc
; 27(5): 1607-16, 2013 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-23247736
8.
The development of a haptic interface for the Virtual Translumenal Endoscopic Surgical Trainer (VTEST.
Stud Health Technol Inform
; 184: 106-8, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23400139
9.
Hierarchical task analysis of hybrid rigid scope Natural Orifice Translumenal Endoscopic Surgery (NOTES) cholecystectomy procedures.
Stud Health Technol Inform
; 184: 293-7, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23400173
10.
Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND).
Sci Data
; 10(1): 699, 2023 10 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37838752
11.
Automated real time peg and tool detection for the FLS trainer box.
Stud Health Technol Inform
; 173: 304-6, 2012.
Artigo
em Inglês
| MEDLINE | ID: mdl-22357006
12.
Erratum: Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments (Erratum).
Neurophotonics
; 8(3): 039801, 2021 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-34337102
13.
Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments.
Neurophotonics
; 8(1): 015008, 2021 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-33681406
14.
Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via Neuroimaging.
Front Neurosci
; 15: 651192, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33828456
15.
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.
Nat Med
; 26(6): 886-891, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-32393799
16.
Assessing bimanual motor skills with optical neuroimaging.
Sci Adv
; 4(10): eaat3807, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30306130
17.
Objective Surgical Skill Differentiation for Physical and Virtual Surgical Trainers via Functional Near-Infrared Spectroscopy.
Stud Health Technol Inform
; 220: 256-61, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27046588
18.
Monte carlo based simulation for evaluating optode fiber placement in prefrontal cortex imaging of motor skills during surgical training.
Stud Health Technol Inform
; 196: 294-6, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24732525
19.
Resonance in the mouse tibia as a predictor of frequencies and locations of loading-induced bone formation.
Biomech Model Mechanobiol
; 13(1): 141-51, 2014 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-23575747