Results 71 to 80 of about 2,986,386 (301)

Recommendations for diabetic macular edema management by retina specialists and large language model-based artificial intelligence platforms

International Journal of Retina and Vitreous
Purpose To study the role of artificial intelligence (AI) in developing diabetic macular edema (DME) management recommendations by creating and comparing responses to clinicians in hypothetical AI-generated case scenarios. The study also examined whether
Ayushi Choudhary, Nikhil Gopalakrishnan, Aishwarya Joshi, Divya Balakrishnan, Jay Chhablani, Naresh Kumar Yadav, Nikitha Gurram Reddy, Padmaja Kumari Rani, Priyanka Gandhi, Rohit Shetty, Rupak Roy, Snehal Bavaskar, Vishma Prabhu, Ramesh Venkatesh   +13 more
doaj   +1 more source

When Algorithms Join the Consultation: A Qualitative Study of Patient Autonomy, Trust and Informed Consent in AI-Supported Oncology Decision-Making

Link Medical Journal of Health and Community Research
Background: Multimorbidity is often managed through disease-specific services, requiring patients to coordinate information, Background: Artificial intelligence (AI) is increasingly being incorporated into diagnostic, prognostic, and treatment-support ...
Qiu Huixu, Linda Chiuman, Ali Napiah Nasution   +2 more
doaj   +1 more source

Marking intersubjectivity in human-written and AI-generated editorials published in "Il Foglio"

In March 2025, the Milan-based broadsheet Il Foglio launched Il Foglio AI, a month-long experiment featuring a daily four-page supplement entirely generated by large language models (LLMs).
Meier, Franz
core   +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon, Ka‐Ho Wong, Mirriam Mananah, Christopher D. Anderson, Ada Fenick, Amy Arnsten, Arman Fesharaki‐Zadeh, James C. McPartland, Mary L. Adams, Kevin N. Sheth   +9 more
wiley   +1 more source

Impacts of cognitive forcing and need for cognition on biased AI-assisted decision making about mental health emergencies

Scientific Reports
Artificial intelligence (AI) trained to predict psychiatric inpatient violence may overestimate risks for marginalized groups, making it critical to find ways to mitigate reliance on biased AI in this context. One potential solution is Cognitive forcing (
Shrika Vejandla, Aksharaa Ray, Laura Sikstrom, Matt Ratto, Juveria Zaheer, Marta M. Maslej   +5 more
doaj   +1 more source

Beyond the Initial Appeal: A Qualitative Study of Sustained Engagement with Virtual Reality and Wearable-Supported Rehabilitation After Stroke

Link Medical Journal of Health and Community Research
Background: Multimorbidity is often managed through disease-specific services, requiring patients to coordinate information, Background: Artificial intelligence (AI) is increasingly being incorporated into diagnostic, prognostic, and treatment-support ...
Yu Shihui, Inda Kania Meilani, Ica Yulianti Pulungan   +2 more
doaj   +1 more source

Uncanny Semantics. How AI and Human Authors Use Language Differently in Academic Writing

This study explores the semantic differences between human-written and AI-generated academic texts by applying word embedding techniques to a curated corpus of 325 introductions from linguistic articles.
Wegerhoff, Dennis
core   +1 more source

AI and Human Reasoning: Qualitative Research in the Age of Large Language Models [PDF]

Context: The advent of AI-driven large language models (LLMs), such as ChatGPT 3.5 and GPT-4, have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats
Whittle, J, Bano, M, Zowghi, D
core   +1 more source

Diabetes‐Associated Cognitive Impairment: Pathophysiology and Emerging Therapies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Diabetes‐associated cognitive impairment (DACI) is a common yet underrecognized condition, manifesting along a spectrum from mild cognitive impairment to dementia. DACI encompasses patients who develop vascular dementia (VaD) or Alzheimer's disease (AD) with diabetes as a risk factor; however, in certain patients, particularly those lacking ...
Osman Corbali, Priyanka Menon, Halil I. Corbali, Ram Jagannathan, Allan I. Levey   +4 more
wiley   +1 more source

Invigorating continuance intention among users of AI chatbots in the banking industry: an empirical study from Tanzania

Cogent Business & Management
While there has been a significant increase in the use of artificial intelligence (AI) in marketing, limited research has focused on the user experience of AI-powered chatbots and their implications in developing countries.
Esther Ernest Mfumbilwa, Caroline Mnong’one, Emmanuel Chao, David Amani   +3 more
doaj   +1 more source