AIMC Topic: Artificial Intelligence

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Carbon Reporting Practices in the NHS: Emissions and Omissions Relating to Artificial Intelligence.

Journal of medical Internet research
Artificial intelligence (AI) is being rolled out across the UK National Health Service (NHS) to improve efficiency; yet, its carbon footprint is largely invisible within mandatory Green Plan reporting. This work shows where NHS carbon reporting omits...

Robotic surgical nurses' perceptions of artificial intelligence: a qualitative study.

Journal of robotic surgery
AIM: This study aimed to explore robotic surgical nurses' perceptions and experiences of artificial intelligence (AI) and to reveal their views on its impact on professional roles and care processes.

Artificial Intelligence in Ambulatory Surgery: Current Applications, Challenges, and Future Directions.

Journal of medical systems
Ambulatory surgery enhances resource utilization through reduced hospital stays and costs without compromising clinical outcomes. However, existing workflows are labor-intensive and repetitive, necessitating optimization in patient selection, assessm...

Current utility of artificial intelligence in benign prostate surgery: a review of literature on behalf of the EAU section of endourology.

World journal of urology
OBJECTIVE: Artificial intelligence (AI) and its subsects, such as machine learning (ML) and virtual reality (VR) are subject to great interest from the urological community, and gaining space in the surgical treatment of benign prostatic hyperplasia ...

Comprehensive analysis of 55,213 stones: understanding common morphological associations advances endoscopic stone recognition and AI integration.

World journal of urology
PURPOSE: To assess the prevalence and associations of urinary stone morphologies, focusing on their relevance for Endoscopic Stone Recognition and improving AI-assisted ESR (AESR) systems.

Post-biographical dignity in the age of artificial intelligence: Narrative, ePROMs and ethical challenges in end-of-life care.

Palliative & supportive care
OBJECTIVES: The growing integration of artificial intelligence (AI) and patient-reported digital tools (ePROMs and ePREMs) in palliative care offers new opportunities for personalised care yet also raises profound ethical and philosophical concerns. ...

Universal Atrial Fibrillation Screening Using Electrocardiographic Artificial Intelligence: A Cost-Effective Approach in Rural Communities.

Journal of medical systems
Atrial fibrillation (AF) significantly contributes to the incidence of strokes. Screening for AF enhances its detection and effective management. However, universal AF screening in rural areas poses a challenge. This study evaluates the cost-effectiv...

Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese.

PloS one
The purpose of this study was to estimate the artificial intelligence (AI) detection potential using stylometric analysis in Study 1 and examine the AI detection abilities of humans in Study 2. In Study 1, we compared 100 human-written public comment...

Tracing the evolution in sleep apnea detection: a review from traditional non-contact under-the-mattress devices to advanced AI-driven methods.

Sleep & breathing = Schlaf & Atmung
BACKGROUND: Sleep apnea is traditionally diagnosed with polysomnography (PSG), which, while effective, is costly, time-consuming, and obtrusive. Recent advancements in biosensing technologies have facilitated the development of under-the-mattress dev...

Artificial intelligence-driven epigenetic CRISPR therapeutics: a structured multi-domain meta-analysis of therapeutic efficacy, off-target prediction, and gRNA optimization.

Functional & integrative genomics
CRISPR-based epigenetic editing enables reversible regulation of gene expression without permanent DNA modification. The integration of artificial intelligence (AI) enhances guide RNA (gRNA) design, off-target prediction, and delivery optimization. W...