AIMC Topic: Artificial Intelligence

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A Social Disruptiveness-Based Approach to AI Governance: Complementing the Risk-Based Approach of the AI Act.

Science and engineering ethics
The AI Act advances a risk-based approach to the legal regulation of AI systems in the European Union. While we support this development, we argue that adequate AI governance requires paying attention to the broader implications of AI systems on the ...

Artificial intelligence-assisted quality control circles led by clinical pharmacists to improve the rational use of parenteral proton pump inhibitors among hospitalised patients.

Scientific reports
Proton pump inhibitors (PPIs) are a class of drugs that inhibit gastric acid secretion and are commonly overused in clinical practice. We developed a quality control circle (QCC) assisted by artificial intelligence (AI) and led by clinical pharmacist...

Advanced smart human activity recognition system for disabled people using artificial intelligence with snake optimizer techniques.

Scientific reports
Human Activity Recognition (HAR) has become an active research area in recent years due to its applicability in various domains and the growing need for convenient facilities and intelligent homes for the elderly. Physical activity tends to decrease ...

Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security.

Scientific reports
The expansion of the Internet of Medical Things (IoHT) presents significant advantages for healthcare over improved data-driven insights and connectivity and offers critical cybersecurity challenges. Attacks are a serious risk for neural network secu...

Streamlining organ donation: impact of an artificial intelligence-based protocol post-brain death.

BMJ open quality
BACKGROUND: Delays in organ retrieval following brain death (BD) can compromise organ viability, increasing the risk of post-transplant complications. In 2021, the Transplant Authority of Tamil Nadu, India, implemented an artificial intelligence (AI)...

Physicians' Attitudes Toward Artificial Intelligence in Medicine: Mixed Methods Survey and Interview Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) has the potential to transform clinical practice and diagnostics. Amid workforce shortages, AI-based applications assist in decision-making, patient monitoring, and administrative tasks. However, despite enthu...

User-Centered Delivery of AI-Powered Health Care Technologies in Clinical Settings: Mixed Methods Case Study.

JMIR human factors
BACKGROUND: Providers spend a large percentage of their day using electronic health record (EHR) technology and frequently report frustration when EHR tasks are time-consuming and effortful. To solve these challenges, artificial intelligence (AI)-bas...

Immune profiling in oncology: bridging the gap between technology and treatment.

Medical oncology (Northwood, London, England)
Immune profiling has become a transformative tool in oncology, offering comprehensive information on tumor immune interactions and facilitating precision medicine. Recent advances such as mass cytometry (CyTOF), single-cell RNA sequencing (scRNA-seq)...

Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system.

Journal of neural engineering
. AI-based neural decoding reconstructs visual perception by leveraging generative models to map brain activity measured through functional magnetic resonance imaging (fMRI) into the observed visual stimulus.. Traditionally, ridge linear models trans...

Machine-learning-based artificial intelligence tools for the diagnosis of tropical fevers: a systematic review and meta-analysis protocol of diagnostic test accuracy.

BMJ open
INTRODUCTION: Recent advancements in diagnosing tropical fevers increasingly use artificial intelligence (AI). These innovations focus on diagnosing single or multiple diseases, significantly reducing the global burden of tropical fevers. This protoc...