Results 81 to 90 of about 35,088 (292)

Viral Leadership: Algorithmic Amplification and the Rise of Leadership Fashions

Administrative Sciences
This essay examines how AI-driven content curation reshapes leadership fashions through algorithmic amplification on social media platforms. Algorithms designed to maximize engagement selectively elevate certain leadership styles, such as authentic ...
Dag Øivind Madsen, Kåre Slåtten
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

'De-Google-ing' our Students: A User Approach to Understanding Archival Media Discovery in the Classroom

VIEW Journal of European Television History and Culture
This article presents insights about how practices of record-keeping are understood by users of algorithmically curated audiovisual archives in a classroom setting. Our user study looks at the intersection of curated access to digital archives and actual
Sabrina Sauer, Berber Hagedoorn, Susan Aasman   +2 more
doaj   +1 more source

Predicting User-Interactions on Reddit

, 2017
In order to keep up with the demand of curating the deluge of crowd-sourced content, social media platforms leverage user interaction feedback to make decisions about which content to display, highlight, and hide.
Lakkaraju H., Nielsen J., Pennington J.
core   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Apomediation, AI, and the illusion of autonomy: risks of misinformation in patient decision-making

Frontiers in Communication
The increasing integration of generative artificial intelligence (AI) in digital health is transforming apomediation into AIMediation, which reconfigures patient autonomy and raises ethical concerns that must be addressed.
Antonio Ponce-Rojo, Tomás Fontaines-Ruiz, Tomás Fontaines-Ruiz, Luis M. Romero-Rodríguez, Luis M. Romero-Rodríguez   +4 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Forging strategic alliances: the agency of human–algorithmic curation under conditions of Platform Capitalism

Journal of Science and Technology of the Arts, 2019
Under conditions of so-called “Platform Capitalism”, software and algorithms undertake the important task of designing the interaction amongst online users and establishing criteria of relevance for content.
Gaia Tedone
doaj   +1 more source