AIMC Topic: Artificial Intelligence

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Cross-lingual effects of AI-generated content on human work.

Scientific reports
Artificial intelligence (AI) technologies, especially large language models (LLMs), have permeated human work around the globe, but how effective is workers' usage and application of AI-generated content across language settings? This research examin...

Medical triage as an AI ethics benchmark.

Scientific reports
We present the TRIAGE benchmark, a novel machine ethics benchmark designed to evaluate the ethical decision-making abilities of large language models (LLMs) in mass casualty scenarios. TRIAGE uses medical dilemmas created by healthcare professionals ...

Harnessing artificial intelligence to identify Bufalin as a molecular glue degrader of estrogen receptor alpha.

Nature communications
Target identification in natural products plays a critical role in the development of innovative drugs. Bufalin, a compound derived from traditional medicines, has shown promising anti-cancer activity; however, its precise molecular mechanism of acti...

Evolving Digital Health Technologies: Aligning With and Enhancing the National Institute for Health and Care Excellence Evidence Standards Framework.

JMIR mHealth and uHealth
The rapid advancement of artificial intelligence (AI)-driven diagnostics and wearable health technologies is transforming health care delivery by enabling real-time health monitoring and early disease detection. These innovations are catalyzing a shi...

Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review.

JMIR cancer
BACKGROUND: Artificial intelligence is reshaping cancer care, but little is known about how people with cancer perceive its integration into their care. Understanding these perspectives is essential to ensuring artificial intelligence adoption aligns...

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review.

JMIR medical informatics
BACKGROUND: Artificial intelligence (AI)-based diagnostic prediction models could aid primary care (PC) in decision-making for faster and more accurate diagnoses. AI has the potential to transform electronic health records (EHRs) data into valuable d...

Artificial Intelligence Applications in Emergency Toxicology: Advancements and Challenges.

Journal of medical Internet research
Emergency toxicology is a complex field requiring rapid and precise decision-making to manage acute poisonings effectively. Toxic exposures are often unpredictable, and the constraints of time and resources often challenge conventional diagnostic and...

AI-Based EMG Reporting: A Randomized Controlled Trial.

Journal of neurology
BACKGROUND AND OBJECTIVES: Accurate interpretation of electrodiagnostic (EDX) studies is essential for the diagnosis and management of neuromuscular disorders. Artificial intelligence (AI) based tools may improve consistency and quality of EDX report...

Assessing the impact of AI tools on mobility and daily assistance for children with down syndrome in Saudi Arabia.

Scientific reports
This mixed-methods study investigated the impact of AI-powered assistive technology on mobility, communication, and daily living assistance in children with Down syndrome in Saudi Arabia. We looked at information from 123 carers (47 who used AI and 7...

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction.

JMIR medical informatics
This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function tests, an...