Search Tag: Artificial Intelligence
2025 25 Nov
Healthcare’s environmental footprint is under increasing scrutiny, and imaging is a recognised contributor to sector-wide emissions. Artificial intelligence is now embedded across radiology workflows, supporting image analysis, reconstruction and reporting, which positions it as both an opportunity and a responsibility for sustainable practic1Read more
2025 25 Nov
Healthcare’s environmental footprint is under increasing scrutiny, and imaging is a recognised contributor to sector-wide emissions. Artificial intelligence is now embedded across radiology workflows, supporting image analysis, reconstruction and reporting, which positions it as both an opportunity and a responsibility for sustainable practic1Read more
2025 25 Nov
Healthcare’s environmental footprint is under increasing scrutiny, and imaging is a recognised contributor to sector-wide emissions. Artificial intelligence is now embedded across radiology workflows, supporting image analysis, reconstruction and reporting, which positions it as both an opportunity and a responsibility for sustainable practic1Read more
2025 25 Nov
Healthcare’s environmental footprint is under increasing scrutiny, and imaging is a recognised contributor to sector-wide emissions. Artificial intelligence is now embedded across radiology workflows, supporting image analysis, reconstruction and reporting, which positions it as both an opportunity and a responsibility for sustainable practic1Read more
2025 04 Nov
Behavioural health services face sustained pressure from administrative burden, variable assessments and rising burnout. Interest in artificial intelligence has grown as providers look for tools that support documentation, surface risk and promote consistency without displacing clinical judgement. At the same time, concerns about unguided dig1Read more
2025 31 Oct
Healthcare generates vast volumes of information, much of it locked in unstructured formats that demand manual review before it can support timely decisions. The challenge intensifies when data moves between care settings with uneven digital capabilities. Smaller providers without certified electronic health records (EHRs) struggle to receive1Read more
2025 31 Oct
Healthcare generates vast volumes of information, much of it locked in unstructured formats that demand manual review before it can support timely decisions. The challenge intensifies when data moves between care settings with uneven digital capabilities. Smaller providers without certified electronic health records (EHRs) struggle to receive1Read more
2025 16 Oct
Artificial intelligence is advancing quickly in medical imaging, expanding potential users and use cases while exposing gaps in knowledge about capabilities, risks and deployment. Complex models, large data demands and distinct non-human failure modes make safe adoption challenging. A multisociety syllabus from several institutions sets out r1Read more
2025 15 Oct
Autonomous agents are moving from prototypes to production across cloud platforms, enterprises and decentralised environments. As populations of agents expand across diverse systems, discovery, identity and capability sharing become foundational. Conventional mechanisms designed for static services and ownership-based trust struggle with agen1Read more
2025 15 Oct
Autonomous agents are moving from prototypes to production across cloud platforms, enterprises and decentralised environments. As populations of agents expand across diverse systems, discovery, identity and capability sharing become foundational. Conventional mechanisms designed for static services and ownership-based trust struggle with agen1Read more
2025 15 Oct
Autonomous agents are moving from prototypes to production across cloud platforms, enterprises and decentralised environments. As populations of agents expand across diverse systems, discovery, identity and capability sharing become foundational. Conventional mechanisms designed for static services and ownership-based trust struggle with agen1Read more
2025 11 Oct
Artificial intelligence promises faster reporting, greater consistency and streamlined workflows in radiology, yet implementation often falls short. Underperformance on real-world data, workflow disruptions, added costs and clinician distrust recur across settings. Problems arise through the AI product lifecycle, within technical infrastructu1Read more
2025 11 Oct
Artificial intelligence promises faster reporting, greater consistency and streamlined workflows in radiology, yet implementation often falls short. Underperformance on real-world data, workflow disruptions, added costs and clinician distrust recur across settings. Problems arise through the AI product lifecycle, within technical infrastructu1Read more
2025 06 Oct
Healthcare systems face compounded pressures from financial strain, workforce shortages and the rising burden of non-communicable diseases. Digital health and artificial intelligence technologies (DHAITs) are often positioned as part of the solution, with potential to improve access, sustainability, efficiency and quality. Yet adoption remain1Read more
2025 06 Oct
Healthcare systems face compounded pressures from financial strain, workforce shortages and the rising burden of non-communicable diseases. Digital health and artificial intelligence technologies (DHAITs) are often positioned as part of the solution, with potential to improve access, sustainability, efficiency and quality. Yet adoption remain1Read more
2025 06 Oct
Artificial intelligence is widely expected to ease pressure on radiology services by supporting detection, prioritisation and reporting. A rapid evaluation examined how AI for chest diagnostics, including lung cancer, was procured and prepared for deployment across National Health Service (NHS) imaging networks in England. The work covered 121Read more
2025 06 Oct
Artificial intelligence is widely expected to ease pressure on radiology services by supporting detection, prioritisation and reporting. A rapid evaluation examined how AI for chest diagnostics, including lung cancer, was procured and prepared for deployment across National Health Service (NHS) imaging networks in England. The work covered 121Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using c1Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using c1Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using c1Read more
2025 30 Sep
Artificial intelligence has long supported radiology as a reactive aid, flagging abnormalities and speeding report generation when prompted by users. A newer approach is emerging that shifts from passive assistance to autonomous, context-aware action. Agentic AI can initiate workflow management, plan tasks and deliver clinical decision suppor1Read more
2025 22 Sep
Accurate characterisation of ovarian masses remains central to timely treatment decisions and the avoidance of unnecessary surgery. Conventional MRI offers strong soft-tissue contrast yet overlapping appearances between benign and malignant lesions can blur interpretation, particularly for morphologically complex masses. A multi-centre invest1Read more
2025 22 Sep
Accurate characterisation of ovarian masses remains central to timely treatment decisions and the avoidance of unnecessary surgery. Conventional MRI offers strong soft-tissue contrast yet overlapping appearances between benign and malignant lesions can blur interpretation, particularly for morphologically complex masses. A multi-centre invest1Read more
2025 22 Sep
Accurate characterisation of ovarian masses remains central to timely treatment decisions and the avoidance of unnecessary surgery. Conventional MRI offers strong soft-tissue contrast yet overlapping appearances between benign and malignant lesions can blur interpretation, particularly for morphologically complex masses. A multi-centre invest1Read more
2025 22 Sep
Accurate characterisation of ovarian masses remains central to timely treatment decisions and the avoidance of unnecessary surgery. Conventional MRI offers strong soft-tissue contrast yet overlapping appearances between benign and malignant lesions can blur interpretation, particularly for morphologically complex masses. A multi-centre invest1Read more
2025 21 Sep
Lung cancer is a leading cause of cancer mortality, yet detecting disease earlier can alter outcomes. Evidence indicates that low-dose computed tomography reduces mortality in high-risk groups, with a greater benefit reported for women. Recent European recommendations set out who should be invited, how scans should be acquired and read, and w1Read more
2025 02 Sep
GenAI has the potential to transform neurology, from earlier diagnoses and tailored treatments to faster research breakthroughs and more efficient clinical workflows. But its future depends on the insights and experiences of healthcare professionals like you. By completing a short questionnaire, you can: Share your perspective o1Read more
2025 25 Aug
Lung cancer remains the most common cancer worldwide, with non-small cell lung cancer accounting for the majority of cases. Among these, lung adenocarcinoma is often characterised by epidermal growth factor receptor (EGFR) mutations, which are critical for guiding treatment with tyrosine kinase inhibitors. These targeted therapies can signifi1Read more
2025 01 Aug
Artificial intelligence is already reshaping healthcare by enhancing diagnostic capabilities, particularly in imaging. In vascular medicine, where diseases such as abdominal aortic aneurysms (AAA), carotid artery disease and peripheral artery disease affect over 200 million people worldwide, AI-guided imaging offers a powerful opportunity to 1Read more
2025 01 Aug
Artificial intelligence is already reshaping healthcare by enhancing diagnostic capabilities, particularly in imaging. In vascular medicine, where diseases such as abdominal aortic aneurysms (AAA), carotid artery disease and peripheral artery disease affect over 200 million people worldwide, AI-guided imaging offers a powerful opportunity to 1Read more