Consequently, vision-based tools have been developed to detect and diagnose concussion in the acute setting, and characterize visual and cognitive function in those with a lifetime history of TBI. Rapid automatized naming (RAN) tasks have provided widely accessible and quantitative measures of ...
The present decisional algorithms are aimed at the evaluation, diagnosis, and therapeutic management of patients with acute vision disorders , for instance, visual impairment, disorders of eye movements, and alteration of pupillary reflexes [1].Bergamaschi, Roberto...
De Asis K, Hernandez-Garcia JF, Holland GZ, Sutton RS (2018) Multi-step reinforcement learning: a unifying algorithm. In Thirty-Second AAAI conference on artificial intelligence DiPietro R, Lea C, Malpani A, Ahmidi N, Vedula SS, Lee GI, Lee MR, Hager GD (2016) Recognizing surgical activi...
(1) Explore how looking at your smartphone affects you (adapted from: Peper, Harvey, & Rosegard, 2024)For a minute, sit in your normal slouched position and look at your smartphone while intensely reading the text or searching social media. For the next minute sit tall and bring the cell...
The authors proposed it as a method for assisting physicians in excluding coronary atherosclerosis in patients with acute chest pain. Muscogiuri et al. [21] demonstrated how DL methods for CAD-RADS scoring are significantly faster if compared to human on site reading of clinical scans. They ...
Radiology, 312 (3) (2024), Article e240153, 10.1148/radiol.240153 View in ScopusGoogle Scholar 22 S.E. Davis, T.A. Lasko, G. Chen, et al. Calibration drift in regression and machine learning models for acute kidney injury Epub 2017/04/06 J Am Med Inform Assoc, 24 (6) (2017), ...