Results 171 to 180 of about 1,207,236 (288)

Navigating AI with pedagogical purpose: Toward an anatomy‐centered framework for AI‐enhanced learning

Anatomical Sciences Education, EarlyView.
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley   +1 more source

Disability, Chronic Illness, and Belonging in Medical Training: A Scoping Review of Perceptions, Lived Experiences, and Inclusion. [PDF]

Adv Med Educ Pract
Truong JB, Knickerbocker AC, Stanley-Kime K.   +2 more
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source

Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study. [PDF]

PLOS Digit Health
Zhu C, Zhang X, van der Walt A, Taylor B, Monif M, Kalincik T, Lechner-Scott J, Buzzard K, Kilpatrick T, Barnett M, Zhou Z, Jokubaitis V, Gresle M, Darby D, Mehta D, Ge Z, Butzkueven H, Merlo D.   +17 more
europepmc   +1 more source

Clinical and Genetic Factors Associated With Regression in Children With Autism Spectrum Disorders

Autism Research, EarlyView.
ABSTRACT Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition with complex genetic and environmental underpinnings. A clinically significant subset of children with ASD experience developmental regression (regASD), characterized by the acute loss of previously acquired skills. The mechanisms, predictors, and molecular basis of
Anna Maruani, Emma Delclaud, Paul Bruzeau, Richard Delorme, Anne‐Claude Tabet, Valérie Vantalon, Jonathan Levy, Pierre Ellul   +7 more
wiley   +1 more source

Multiparametric MRI radiomics and machine learning for outcome prediction in acute ischemic stroke: a retrospective study of 353 patients. [PDF]

Front Neurosci
Peng X, Guo J, Zhou Q, Wang S, Li T.
europepmc   +1 more source

Anodal Transcranial Direct Current Stimulation Improves Social Behavior Alongside Neuroplastic Changes in a Tsc2+/− Rat Model of Autism Spectrum Disorder

Autism Research, EarlyView.
ABSTRACT Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by altered synaptic connectivity and network organization, resulting in profound impairments in social communication and interaction. Transcranial direct current stimulation (tDCS) represents a promising approach to modulate maladaptive plasticity associated with ASD;
Antonia Ramme, Rebecca Winter, Natalia Jarzebska, Fatih Ögel, Marten Julian Richter, Iveta Vojtechova, Christine Winter, Tomas Petrasek, Robert Waltereit, Nadine Bernhardt   +9 more
wiley   +1 more source

The Japanese Adaptation of the Reading the Mind in Films Test: Differentiating Autism Spectrum Disorder From Depression Using an Ecologically Valid Social Cognitive Task

Autism Research, EarlyView.
ABSTRACT Cognitive tests that reflect the complexity of real‐world social interactions are essential for autism spectrum disorder (ASD)‐related clinical assessment and research. This study developed and adapted a Japanese version of the Reading the Mind in Films (RMF) test, which assesses mind‐reading ability through dynamic, multisensory, and context ...
Sayaka Kawakami, Shota Uono, Toshiya Murai, Sadao Otsuka   +3 more
wiley   +1 more source