Results 141 to 150 of about 20,672 (253)

Assessing Artificial Intelligence Literacy: What do Health Information Professionals Know about AI? [PDF]

open access: yesAdv Health Inf Sci Pract
Dolezel D   +6 more
europepmc   +1 more source

AI Epistemic Disengagement and Consumer Dependence: An Augmentation‐Substitution Framework

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Artificial intelligence has become consumers' primary decision‐making resource, raising two questions: how do consumers justify accepting AI as a trusted source of reasoning, and when does this acceptance maintain rather than forfeit their capacity to think independently?
Vasilis Theoharakis   +1 more
wiley   +1 more source

Surprise Marketing

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Surprise marketing, characterized by unexpected tactics such as blind boxes and spontaneous discounts, captivates consumers by sparking curiosity and participation. Despite increasing industry use, scholarly research remains fragmented and limited.
Xin‐Jean Lim   +2 more
wiley   +1 more source

From Amyotrophic Lateral Sclerosis to Neurodegenerative Diseases: A Scoping Review of Artificial Intelligence‐Powered Chatbots for Addressing Patients' and Caregivers' Information Needs

open access: yesMedicine Advances, EarlyView.
This scoping review synthesizes evidence from 24 studies (2019–2024) to examine how AI‐powered chatbots address patients' and caregivers' health information needs across diseases. Findings highlight key benefits such as accessibility, empowerment, efficiency, and personalization, alongside important limitations related to empathy, language and ...
Julie Desgroseilliers   +3 more
wiley   +1 more source

What Is Required for AI to Improve the Assessment and Treatment of Patients With Lower Urinary Tract Dysfunction? ICI‐RS 2025

open access: yesNeurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Artificial intelligence (AI) is poised to improve the diagnosis and management of lower urinary tract dysfunction (LUTD). Its effective deployment requires prioritization, regulatory oversight, rigorous validation, and clinician and patient engagement.
Glenn T. Werneburg   +15 more
wiley   +1 more source

Clinical Applications of Multimodal Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with “multimodal” AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology.
Ying Jie Li   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy