Results 131 to 140 of about 5,733,203 (365)

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting   +12 more
wiley   +1 more source

An AI-Powered System for Residential Demand Response [PDF]

open access: gold, 2021
Iker Esnaola-Gonzalez   +4 more
openalex   +1 more source

Interactive intelligence: behaviour-based AI, musical HCI and the Turing Test [PDF]

open access: yes, 2012
The field of behaviour-based artificial intelligence (AI), with its roots in the robotics research of Rodney Brooks, is not predominantly tied to linguistic interaction in the sense of the classic Turing test (or, "imitation game").
Dobbyn, Chris   +2 more
core  

Nationwide Characterization of MFN2‐Related CMT in 176 Japanese Patients: Clinical and Genetic Insights

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Mitofusin 2 (MFN2) is a major causative gene for axonal Charcot – Marie – Tooth disease type 2A (CMT2A), with a wide phenotypic spectrum. Comprehensive large ‐ scale genotype – phenotype association studies are essential for understanding disease pathogenesis and improved clinical management.
Masahiro Ando   +13 more
wiley   +1 more source

VIRFIM: an AI and Internet of Medical Things-driven framework for healthcare using smart sensors [PDF]

open access: bronze, 2021
Sunder Ali Khowaja   +3 more
openalex   +1 more source

AI Betrays AI

open access: yesJournal of Student Research
The rise of AI deepfakes following the launch of ChatGPT and its AI counterpart DALL-E has sparked fear that the boundary between real and fake can no longer be identified. In this study, it was found that machine learning algorithms can be reliably used to distinguish between real and AI-generated images of human faces when provided with high ...
Mike Mao   +2 more
openaire   +1 more source

Impact of Stress‐Induced Hyperglycemia on In‐Hospital Medical Complications in Patients With Acute Stroke: From a Large‐Scale Nationwide Longitudinal Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song   +6 more
wiley   +1 more source

From local explanations to global understanding with explainable AI for trees

open access: yesNature Machine Intelligence, 2020
Scott M. Lundberg   +9 more
semanticscholar   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih   +40 more
wiley   +1 more source

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