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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mohammed Umar

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Review Open access Sep 2026

Bedside data to clinical foresight: the emerging role of nurses in AI-enabled predictive care and early patient deterioration detection

Early recognition of patient deterioration remains a cornerstone of high-quality nursing care and is essential for preventing avoidable morbidity, mortality, and unplanned intensive care admissions. Despite advances in physiological monitoring, delays in recognizing subtle clinical changes continue to contribute to adv...

R. Sheeba, N. Murugananandan, Tamilselvan et al. · 0 citations
Review Open access Sep 2026

Evidence-based nursing care in intensive care units: current practices, challenges and future directions

Nurses form the clinical backbone of every intensive care unit and the evidence they draw on at the bedside shapes how safely critically ill patients recover. This systematic review set out to bring together what is currently known about evidence-based nursing (EBN) in adult intensive care units (ICUs): the interventio...

Ivan Abhishek Prakash, Pauline Sharmila, S. S. Bhakare et al. · 0 citations
Review Open access Sep 2026

Storytelling-based learning in nursing education: enhancing disease knowledge, clinical reasoning and professional competence among nursing students: a narrative review

Storytelling has returned as a purposeful teaching strategy in nursing education. It offers an alternative to didactic, fact-centred instruction by placing disease knowledge within lived clinical narratives. This narrative review synthesises current evidence on storytelling-based learning, including digital storytellin...

N. M., S. B, Roselin Myvizhi J. E. et al. · 0 citations
Review Open access Sep 2026

Artificial intelligence in psychiatry: transforming diagnosis, risk prediction and personalized mental healthcare – a narrative review

Artificial intelligence (AI) is transforming psychiatric practice by introducing innovative approaches to diagnosis, risk prediction, and personalized mental healthcare. Recent advances in machine learning (ML), deep learning (DL), natural language processing (NLP), digital phenotyping, neuroimaging analytics, and wear...

Rehana Banoo, Shilki Sharma, N. K et al. · 0 citations
Review Open access Jul 2026

Artificial intelligence-driven predictive analytics for early detection and risk stratification of cardiovascular disease

It was demonstrated that machine learning (ML) and deep learning (DL) models consistently outperformed conventional cardiovascular risk prediction tools, achieving area under the receiver operating characteristic curve (AUC) values ranging from 0.80-0.99 across various cardiovascular conditions.

N. Muruganandan, P. Prathiba, Khyati Rajeshkumar Patel et al. · 0 citations

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