AIMC Topic: Artificial Intelligence

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: An AI-Based Application to Enable Just-in-Time Generation of Topic-Specific Displays for Persons Who Are Minimally Speaking.

International journal of environmental research and public health
As artificial intelligence (AI) makes significant headway in various arenas, the field of speech-language pathology is at the precipice of experiencing a transformative shift towards automation. This study introduces , an AI-driven application design...

The diagnostic value of artificial intelligence-assisted imaging for developmental dysplasia of the hip: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research
OBJECTIVE: To clarify the efficacy of artificial intelligence (AI)-assisted imaging in the diagnosis of developmental dysplasia of the hip (DDH) through a meta-analysis.

Artificial intelligence: illuminating the depths of the tumor microenvironment.

Journal of translational medicine
Artificial intelligence (AI) can acquire characteristics that are not yet known to humans through extensive learning, enabling to handle large amounts of pathology image data. Divided into machine learning and deep learning, AI has the advantage of h...

Neuroethics and AI ethics: a proposal for collaboration.

BMC neuroscience
The scientific relationship between neuroscience and artificial intelligence is generally acknowledged, and the role that their long history of collaboration has played in advancing both fields is often emphasized. Beyond the important scientific ins...

Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online.

Nature communications
Given the profound societal impact of conspiracy theories, probing the psychological factors associated with their spread is paramount. Most research lacks large-scale behavioral outcomes, leaving factors related to actual online support for conspira...

Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review.

JMIR human factors
BACKGROUND: Artificial intelligence (AI) use cases in health care are on the rise, with the potential to improve operational efficiency and care outcomes. However, the translation of AI into practical, everyday use has been limited, as its effectiven...

Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias.

Nature communications
A core motivation for the use of artificial intelligence (AI) in medicine is to reduce existing healthcare disparities. Yet, recent studies have demonstrated two distinct findings: (1) AI models can show performance biases in underserved populations,...

AI-assisted assessment and treatment of aphasia: a review.

Frontiers in public health
Aphasia is a language disorder caused by brain injury that often results in difficulties with speech production and comprehension, significantly impacting the affected individuals' lives. Recently, artificial intelligence (AI) has been advancing in m...

Can time-lapse culture combined with artificial intelligence improve ongoing pregnancy rates in fresh transfer cycles of single cleavage stage embryos?

Frontiers in endocrinology
PURPOSE: With the rapid advancement of time-lapse culture and artificial intelligence (AI) technologies for embryo screening, pregnancy rates in assisted reproductive technology (ART) have significantly improved. However, clinical pregnancy rates in ...

Digital social media expression and social adaptability of the older adult driven by artificial intelligence.

Frontiers in public health
INTRODUCTION: This study examines the impact of digital new media art on the health literacy and digital health literacy of older adults. It explores how digital new media art influences the social adaptability of the older adult, with a focus on var...