Large language models (LLMs) have emerged as transformative tools in healthcare, offering advancements in medical research, diagnostics and decision-making. However, their reliance on vast
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The digital transformation of healthcare has introduced new ways of conducting triage, particularly in primary care settings. Nurses in Sweden have increasingly adopted text-based digital t
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Artificial intelligence continues to shape healthcare, with its integration becoming a key focus for health systems in 2025. However, clinician trust remains a critical factor in the succes
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The cybersecurity landscape is on the brink of a transformation unlike any before. The advent of agentic AI—artificial intelligence capable of reasoning, planning and acting autonomously—in
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The accuracy of radiology reports is critical to ensuring effective patient care, but the process of proofreading these reports is both time-intensive and prone to human error. Large langua
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The rise of artificial intelligence in healthcare has sparked a fundamental question: can AI contribute to making healthcare more human? While AI itself lacks emotions, its ability to reduc
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AI is transforming healthcare by enhancing diagnostics, optimising workflows and supporting medical professionals in new and powerful ways. However, the success of AI in healthcare depends
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The healthcare sector generates vast amounts of data, yet much of it remains siloed, limiting its utility for research and development. The inability to securely share and analyse healthcar
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The integration of three-dimensional cinematic reconstructions with augmented reality (AR) has introduced new possibilities for cardiovascular imaging. By enabling interaction with holograp
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Artificial intelligence continues to drive significant change in the healthcare and life sciences sectors, with 2025 marking a pivotal moment in its adoption. Google’s latest report on AI t
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