Results 231 to 240 of about 1,149,368 (349)

American Sign Language (ASL)

, 2005
Neil J.Salkind
openalex   +2 more sources

Alzheimer's Association clinical practice guideline for the Diagnostic Evaluation, Testing, Counseling, and Disclosure of Suspected Alzheimer's Disease and Related Disorders (DETeCD‐ADRD): Executive summary of recommendations for primary care

Alzheimer's &Dementia, EarlyView.
Abstract US clinical practice guidelines for the diagnostic evaluation of cognitive impairment due to Alzheimer's disease (AD) or AD and related dementias (ADRD) are decades old and aimed at specialists. This evidence‐based guideline was developed to empower all—including primary care—clinicians to implement a structured approach for evaluating a ...
Alireza Atri, Bradford C. Dickerson, Carolyn Clevenger, Jason Karlawish, David Knopman, Pei‐Jung Lin, Mary Norman, Chiadi Onyike, Mary Sano, Susan Scanland, Maria Carrillo   +10 more
wiley   +1 more source

Effects of age on American Sign Language sentence repetition. [PDF]

Psychol Aging, 2020
Corina DP, Farnady L, LaMarr T, Pedersen S, Lawyer L, Winsler K, Hickok G, Bellugi U.   +7 more
europepmc   +1 more source

The ASL-LEX 2.0 Project: A Database of Lexical and Phonological Properties for 2,723 Signs in American Sign Language. [PDF]

J Deaf Stud Deaf Educ, 2021
Sehyr ZS, Caselli N, Cohen-Goldberg AM, Emmorey K.   +3 more
europepmc   +1 more source

Acquiring Word Class Distinctions in American Sign Language: Evidence from Handshape [PDF]

, 2013
Diane Brentari, Marie Coppola, Ashley Faith Jung, Susan Goldin‐Meadow   +3 more
openalex   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems

Annals of Neurology, EarlyView.
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley   +1 more source

Neuroimaging for differential diagnosis of transient neurological attacks

Brain and Behavior, Volume 12, Issue 12, December 2022., 2022
Abstract Background Rapid yet comprehensive neuroimaging protocols are required for patients with suspected acute stroke. However, stroke mimics can account for approximately one in five clinically diagnosed acute ischemic strokes and the rate of thrombolyzed mimics can be as high as 17%.
Ying Wang, Hao Zha
wiley   +1 more source

Picture-naming in American Sign Language: an electrophysiological study of the effects of iconicity and structured alignment. [PDF]

Lang Cogn Neurosci, 2021
McGarry ME, Mott M, Midgley KJ, Holcomb PJ, Emmorey K.   +4 more
europepmc   +1 more source

Facial Feature Tracking and Occlusion Recovery in American Sign Language

, 2006
Thomas Castelli, Margrit Betke, Carol Neidle   +2 more
openalex   +1 more source

Detecting New Lesions Using a Large Language Model: Applications in Real‐World Multiple Sclerosis Datasets

Annals of Neurology, EarlyView.
Objective Neuroimaging is routinely utilized to identify new inflammatory activity in multiple sclerosis (MS). A large language model to classify narrative magnetic resonance imaging reports in the electronic health record (EHR) as discrete data could provide significant benefits for MS research. The objectives of the current study were to develop such
Shane Poole, Nikki Sisodia, Kanishka Koshal, Kyra Henderson, Jaeleene Wijangco, Danelvis Paredes, Chelsea Chen, William Rowles, Amit Akula, Jens Wuerfel, Vishakha Sharma, UCSF Multiple Sclerosis and Neuroinflammation Center clinicians, Andreas M. Rauschecker, Roland G. Henry, Riley Bove   +14 more
wiley   +1 more source