AIMC Topic: Artificial Intelligence

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Exploring Women's Perceptions of Traditional Mammography and the Concept of AI-Driven Thermography to Improve the Breast Cancer Screening Journey: Mixed Methods Study.

JMIR cancer
BACKGROUND: Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programs remains suboptimal due to discomfort, rad...

Toward Human-Centered Artificial Intelligence for Users' Digital Well-Being: Systematic Review, Synthesis, and Future Directions.

JMIR human factors
BACKGROUND: As information and communication technologies and artificial intelligence (AI) become deeply integrated into daily life, the focus on users' digital well-being has grown across academic and industrial fields. However, fragmented perspecti...

Investigating the role of AI explanations in lay individuals' comprehension of radiology reports: A metacognition lens.

PloS one
While there has been extensive research on techniques for explainable artificial intelligence (XAI) to enhance AI recommendations, the metacognitive processes in interacting with AI explanations remain underexplored. This study examines how AI explan...

Reinforcement learning at the interface of artificial intelligence and cognitive science.

Neuroscience
Reinforcement learning (RL) is a computational framework that models how agents learn from trial and error to make sequential decisions. Rooted in behavioural psychology, RL has become central to artificial intelligence and is increasingly applied in...

Living on the Edge: Paradoxical Experiences With Ethics .

Nursing science quarterly
Paradox is living phenomenon that provides insights into straight thinking and diverse human experiences important to the discipline of nursing from a nursing philosophical theory-based approach. The author here delves into the metaphorical experienc...

Artificial Intelligence in Nursing: Toward a Global Perspective.

Nursing science quarterly
The use of artificial intelligence (AI) technology is rapidly expanding in nursing and society. However, its use in healthcare comes with a number of challenges and concerns. The authors of this article use the sociotechnical model to consider the ex...

Use of artificial intelligence for classification of fractures around the elbow in adults according to the 2018 AO/OTA classification system.

BMC musculoskeletal disorders
BACKGROUND: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study.

JMIR medical informatics
BACKGROUND: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its appl...

Crowdsourcing a Training Dataset of Question-and-Answer Pairs for AI-Enabled Health Information Tools on Sexually Transmitted Infections: Protocol for a Cross-Sectional Exploratory Survey Study.

JMIR research protocols
BACKGROUND: Sexually transmitted infections are a significant public health concern, particularly in sub-Saharan Africa, where their prevalence remains high. Promoting awareness and reducing stigma are essential strategies for addressing this challen...