Results 151 to 160 of about 14,399 (295)
International Journal of Eating Disorders, EarlyView.ABSTRACT Objectives Despite the rapid growth of generative artificial intelligence (AI), virtually no research exists examining the psychological impacts of viewing or interacting with AI‐generated images of people. Additionally, it remains relatively unknown whether informing viewers when images are AI‐generated is an effective way to lessen harm or ...
Brooke L. Bennett +5 more
wiley +1 more source
Multi-Targeting Intranasal Nanoformulation as a Therapeutic for Alzheimer's Disease. [PDF]
Biomolecules, 2023 Fihurka O +14 more
europepmc +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective Food insecurity is increasingly linked to binge eating and weight‐related health issues like type 2 diabetes mellitus, but no eating disorder interventions have been tested among individuals with food insecurity. We conducted a single‐arm pilot test of FoodSteps‐FI, a guided self‐help digital intervention for binge eating adapted for
Andrea K. Graham +9 more
wiley +1 more source
Tick‐Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective TikTok—a highly engaging social media platform with a powerful algorithm that displays short videos—has become massively popular in recent years. As research highlights the concerning relationship between image‐based content on social media and disordered eating symptoms, TikTok may serve as an optimal platform to understand eating ...
Macarena Kruger +3 more
wiley +1 more source
Breakthrough Inventions and Migrating Clusters of Innovation [PDF]
We investigate the speed at which clusters of invention for a technology migrate spatially following breakthrough inventions. We identify breakthrough inventions as the top one percent of US inventions for a technology during 1975-1984 in terms of ...
William R. Kerr
core
European Journal of Social Psychology, EarlyView.ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley +1 more source
Epilepsia, EarlyView.Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Ambient technology in epilepsy clinical practice
Epilepsia Open, EarlyView.Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan +3 more
wiley +1 more source
ALBA: a model-driven framework for the automatic generation of android location-based apps. [PDF]
Autom Softw Eng, 2021 Gharaat M +3 more
europepmc +1 more source
Epilepsia Open, EarlyView.Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana +6 more
wiley +1 more source