AIMC Topic: Artificial Intelligence

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Research on social bot identification through behavioral feature analysis.

PloS one
Accurately identifying social bot accounts is the key to preventing the use of artificial intelligence technology to forge social accounts, which can interfere with public opinion and thus cause public opinion crises. However, at present, relying onl...

Toward responsible artificial intelligence in medicine: Reflections from the Australian epilepsy project.

Artificial intelligence in medicine
Artificial intelligence (AI) is a multidisciplinary scientific field that uses machines to solve real-world problems and predict outcomes. Despite the current enthusiasm about AI's potential as a clinical support tool, there is also a growing awarene...

Pharmacy students' perceptions of artificial intelligence integration in pharmacy practice: Ethical challenges in multiple countries of the MENA region.

Currents in pharmacy teaching & learning
BACKGROUND: The integration of artificial intelligence (AI) into pharmacy practice has the potential to advance learning experiences and prepare future pharmacists for evolving healthcare needs. However, it also raises ethical considerations that nee...

Enhancing patient-centered care with AI: a study of responses to neuroendocrine neoplasms queries.

Endocrine
INTRODUCTION: Large Language Models (LLMs) are increasingly used in oncology, but their application in neuroendocrine neoplasms (NENs) is still unexplored.

Preliminary analysis of AI-based thyroid nodule evaluation in a non-subspecialist endocrinology setting.

Endocrine
PURPOSE: Thyroid nodules are commonly evaluated using ultrasound-based risk stratification systems, which rely on subjective descriptors. Artificial intelligence (AI) may improve assessment, but its effectiveness in non-subspecialist settings is uncl...

The revolutionary impact of 6G technology on empowering health and building a smart society: A scoping review.

Computers in biology and medicine
OBJECTIVE: This scoping review investigates the potential of 6G technology in healthcare, particularly in smart city settings, focusing on its enhanced data capabilities, AI's role in healthcare optimization, infrastructure support, interoperability,...

The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.

Journal of internal medicine
Healthcare-associated infections (HAIs) are common adverse events, and surveillance is considered a core component of effective HAI reduction programmes. Recently, efforts have focused on automating the traditional manual surveillance process by util...

Systematic Review: Use of Artificial Intelligence and Unmet Needs in Eosinophilic Oesophagitis.

Alimentary pharmacology & therapeutics
BACKGROUND: Artificial intelligence (AI) has been applied extensively to eosinophilic oesophagitis (EoE), but its clinical impact and comprehensiveness remain unclear.

The latest advances with natural products in drug discovery and opportunities for the future: a 2025 update.

Expert opinion on drug discovery
INTRODUCTION: The landscape of drug discovery is rapidly evolving, with natural products (NPs) playing a pivotal role in the development of novel therapeutics. Despite their historical significance, challenges persist in fully harnessing their potent...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

British journal of hospital medicine (London, England : 2005)
Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due to high rates of missed or delayed detection. Computed tomography pulmonary angiography (CTPA) is the current standard for diagnosing PE, however, dem...