Published in Reviews in the Neurosciences
There has been tremendous progress in artificial neural networks (ANNs) over the past decade; however, the gap between ANNs and the biological brain as a learning device remains large. With the goal of closing this gap, this paper reviews learning mechanisms in the brain by focusing on three important issues in ANN research: efficiency, continuity,...
Published in Vascular
The aim of this study is to evaluate the feasibility, applicability and accuracy of artificial intelligence (AI) in the detection of normal versus carotid artery disease through greyscale static duplex ultrasound (DUS) images. A prospective image acquisition of individuals undergoing duplex sonography for the suspicion of carotid artery disease at ...
Viz LVO artificial intelligence (AI) software utilizes AI-powered large vessel occlusion (LVO) detection technology which automatically identifies suspected LVO through CT angiogram (CTA) imaging and alerts on-call stroke teams. This analysis was performed to determine whether AI software can reduce the door-in-door-out (DIDO) time interval within ...
Published in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
To evaluate the performance of a machine learning model and the effects of major prognostic factors on hearing outcomes following intact canal wall (ICW) mastoidectomy with tympanoplasty. Retrospective cross-sectional study. Tertiary hospital. A total of 484 patients with chronic otitis media who underwent ICW tympanomastoidectomy between January 2...
Published in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
To localize structural laryngeal lesions within digital flexible laryngoscopic images and to classify them as benign or suspicious for malignancy using state-of-the-art computer vision detection models. Cross-sectional diagnostic study SETTING: Tertiary care voice clinic METHODS: Digital stroboscopic videos, demographic and clinical data were colle...
Published in Journal of the American Academy of Dermatology
Published in The Laryngoscope
Machine learning (ML) analysis of biometric data in non-controlled environments is underexplored. To evaluate whether ML analysis of physical activity data can be employed to classify whether individuals have postural dysfunction in middle-aged and older individuals. A 1 week period of physical activity was measured by a waist-worn uni-axial accele...
Published in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Published in The international journal of lower extremity wounds
In a world where automation is becoming increasingly common, easier collection of mass of data and powerful computer processing has meant a transformation in the field of artificial intelligence (AI). The diabetic foot is a multifactorial problem; its issues render it suitable for analysis, interrogation, and development of AI. The latter has the p...
Published in The Journal of thoracic and cardiovascular surgery
The aim of this study using decision curve analysis (DCA) was to evaluate the clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making compared with the European System for Cardiac Operative Risk Evaluation (EuroSCORE) II and to 2 machine-learning models. Using data from a French prospective database, this ...
