Search Tag: Radiology
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 practice....Read 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 practice....Read 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 practice....Read 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 practice....Read more
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 09 Nov
Contrast-enhanced imaging underpins modern diagnostics, yet adverse responses remain a safety concern. Immediate hypersensitivity reaction to contrast media (CM-IHR) occurs within one hour of administration and ranges from mild to severe, with potential for life-threatening outcomes if not promptly managed. A systematic evaluation consolidated...Read more
2025 07 Nov
Artificial intelligence–generated content (AIGC) is advancing rapidly across nuclear medicine imaging (NMI), promising software-based gains in denoising, motion correction, attenuation correction and cross-modality translation. These approaches may streamline workflows, reduce radiation exposure and improve quantitative accuracy. Alongside these...Read more
2025 31 Oct
Chronic obstructive pulmonary disease (COPD) is often detected late, when symptoms have already progressed and options to slow decline are more limited. Chest radiographs are common in everyday care yet are not used to diagnose COPD. A deep learning model called CXR-Lung-Risk, originally trained to estimate long-term lung-related mortality from...Read more
2025 31 Oct
Chronic obstructive pulmonary disease (COPD) is often detected late, when symptoms have already progressed and options to slow decline are more limited. Chest radiographs are common in everyday care yet are not used to diagnose COPD. A deep learning model called CXR-Lung-Risk, originally trained to estimate long-term lung-related mortality from...Read more
2025 31 Oct
Chronic obstructive pulmonary disease (COPD) is often detected late, when symptoms have already progressed and options to slow decline are more limited. Chest radiographs are common in everyday care yet are not used to diagnose COPD. A deep learning model called CXR-Lung-Risk, originally trained to estimate long-term lung-related mortality from...Read more
2025 28 Oct
Lung cancer remains the leading cause of cancer-related deaths worldwide, yet advances in computed tomography (CT) screening and artificial intelligence are reshaping prospects for earlier detection and improved outcomes. Evidence from large screening programmes and long-term follow-up cohorts indicates that identifying disease at an early stage...Read more
2025 28 Oct
Lung cancer remains the leading cause of cancer-related deaths worldwide, yet advances in computed tomography (CT) screening and artificial intelligence are reshaping prospects for earlier detection and improved outcomes. Evidence from large screening programmes and long-term follow-up cohorts indicates that identifying disease at an early stage...Read more
2025 25 Oct
Prostate-specific membrane antigen (PSMA) PET/CT has transformed prostate cancer assessment and is now embedded in guideline-recommended care. Yet the usefulness of advanced imaging depends on how consistently results are communicated. An analysis of consecutive external PSMA PET/CT reports received at a single tertiary centre highlights substantial...Read more
2025 23 Oct
Right upper quadrant ultrasound (RUQUS) is central to evaluating suspected acute cholecystitis (AC) in emergency care, yet the influence of pre-examination pain control on diagnostic accuracy remains a practical concern. Evidence drawn from a large retrospective cohort of adults presenting with abdominal pain explores whether opioid analgesia...Read more
2025 23 Oct
Right upper quadrant ultrasound (RUQUS) is central to evaluating suspected acute cholecystitis (AC) in emergency care, yet the influence of pre-examination pain control on diagnostic accuracy remains a practical concern. Evidence drawn from a large retrospective cohort of adults presenting with abdominal pain explores whether opioid analgesia...Read more
2025 23 Oct
Right upper quadrant ultrasound (RUQUS) is central to evaluating suspected acute cholecystitis (AC) in emergency care, yet the influence of pre-examination pain control on diagnostic accuracy remains a practical concern. Evidence drawn from a large retrospective cohort of adults presenting with abdominal pain explores whether opioid analgesia...Read more
2025 22 Oct
Knowing before surgery whether cancer cells have started to move through tiny blood or lymph vessels in the cervix, known as lymphovascular space invasion (LVSI), is important for choosing the safest treatment plan. It can influence the extent of surgery, whether fertility-sparing options remain suitable and whether extra treatment is needed afterwards....Read more
2025 22 Oct
Knowing before surgery whether cancer cells have started to move through tiny blood or lymph vessels in the cervix, known as lymphovascular space invasion (LVSI), is important for choosing the safest treatment plan. It can influence the extent of surgery, whether fertility-sparing options remain suitable and whether extra treatment is needed afterwards....Read more
2025 22 Oct
Knowing before surgery whether cancer cells have started to move through tiny blood or lymph vessels in the cervix, known as lymphovascular space invasion (LVSI), is important for choosing the safest treatment plan. It can influence the extent of surgery, whether fertility-sparing options remain suitable and whether extra treatment is needed afterwards....Read more
2025 21 Oct
Ultra-high-resolution CT promises finer anatomical detail, but achieving consistent image quality depends on how acquisition settings interact with the chosen reconstruction method. One parameter under routine consideration is gantry rotation time, which is often lengthened to help manage dose when small focal spots limit tube current. However,...Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 11 Oct
Diffusion-weighted imaging (DWI) probes tissue microstructure by capturing water motion and translating it into contrast that supports detection, characterisation and treatment assessment across brain and body. Diagnostic value depends on coherent protocol choices, control of artefacts and disciplined interpretation with the apparent diffusion...Read more
2025 06 Oct
Medical imaging is a growing contributor to healthcare’s environmental footprint, and the energy required to store imaging data is a significant part of that impact. Computed tomography of the chest, abdomen and pelvis (CT-CAP) for baseline staging in endometrial cancer generates large files, especially when post-processed series such as reformats...Read more
2025 06 Oct
Medical imaging is a growing contributor to healthcare’s environmental footprint, and the energy required to store imaging data is a significant part of that impact. Computed tomography of the chest, abdomen and pelvis (CT-CAP) for baseline staging in endometrial cancer generates large files, especially when post-processed series such as reformats...Read more