Search Tag: deep learning
2025 17 Mar
Rectal cancer is a significant global health concern, requiring accurate prognostic assessments to guide treatment strategies effectively. While the tumour-node-metastasis (TNM) staging system is commonly used, variations in patient outcomes indicate the need for additional predictive markers. Tumour budding (TB), a histopathological feature associated...Read more
2025 10 Mar
Automating medical imaging workflows has become a pressing need, particularly in emergency radiology, where time-sensitive decisions are required. Traditional protocoling of emergency brain MRI scans relies on radiologists manually reviewing clinical referral texts, a process that is both time-consuming and prone to errors. This process accounts...Read more
2025 10 Mar
Prostate cancer remains a significant health concern, with early and accurate detection crucial for improving patient outcomes. Magnetic resonance imaging (MRI) has become a valuable tool in identifying clinically significant prostate cancer (csPCa), particularly through the Prostate Imaging-Reporting and Data Systems (PI-RADS) scoring system....Read more
2025 03 Mar
Predicting mortality in intensive care units (ICUs) is critical for effective patient management and resource allocation. Traditional predictive scoring systems, such as the Simplified Acute Physiology Score (SAPS) II, rely on structured clinical data from electronic health records (EHRs). However, these models often fail to incorporate valuable...Read more
2025 09 Feb
Preeclampsia (PE) is a serious multisystem disorder of pregnancy associated with placental insufficiency, leading to adverse maternal and foetal outcomes, including foetal growth restriction (FGR). Affecting 2–8% of pregnancies worldwide, PE remains a major cause of maternal and neonatal morbidity and mortality. Early and accurate detection is...Read more
2025 09 Feb
Preeclampsia (PE) is a serious multisystem disorder of pregnancy associated with placental insufficiency, leading to adverse maternal and foetal outcomes, including foetal growth restriction (FGR). Affecting 2–8% of pregnancies worldwide, PE remains a major cause of maternal and neonatal morbidity and mortality. Early and accurate detection is...Read more
2025 02 Feb
The integration of preoperative three-dimensional computed tomography (CT) and intraoperative two-dimensional X-ray imaging has significantly improved the precision of image-guided surgery. The ability to align these modalities enables more accurate lesion localisation, reduces surgical invasiveness and minimises the risk of damage to surrounding...Read more
2025 29 Jan
Haemorrhagic transformation (HT) represents a critical complication for patients with acute ischemic stroke (AIS) undergoing intravenous thrombolysis (IVT). The risk of HT poses a significant challenge for clinicians, as it is associated with poor clinical outcomes and limits the widespread application of IVT. Accurate prediction of HT, particularly...Read more
2025 29 Jan
Haemorrhagic transformation (HT) represents a critical complication for patients with acute ischemic stroke (AIS) undergoing intravenous thrombolysis (IVT). The risk of HT poses a significant challenge for clinicians, as it is associated with poor clinical outcomes and limits the widespread application of IVT. Accurate prediction of HT, particularly...Read more
2025 29 Jan
Osteoporosis, a medical condition marked by decreased bone density and heightened fracture risk, remains a significant public health concern, particularly among postmenopausal women and older men. Despite its serious consequences, including disability and increased mortality due to fractures, many individuals remain undiagnosed. A key barrier...Read more
2025 29 Jan
Osteoporosis, a medical condition marked by decreased bone density and heightened fracture risk, remains a significant public health concern, particularly among postmenopausal women and older men. Despite its serious consequences, including disability and increased mortality due to fractures, many individuals remain undiagnosed. A key barrier...Read more
2024 09 Dec
Radiomics, the process of extracting vast quantities of quantitative data from medical images, holds great potential for revolutionising modern healthcare. It offers applications ranging from disease diagnosis to patient prognosis and stratification. Despite its promise, the clinical utility of radiomics has been stifled by one critical issue:...Read more
2024 09 Dec
Radiomics, the process of extracting vast quantities of quantitative data from medical images, holds great potential for revolutionising modern healthcare. It offers applications ranging from disease diagnosis to patient prognosis and stratification. Despite its promise, the clinical utility of radiomics has been stifled by one critical issue:...Read more
2024 07 Oct
Breast cancer remains one of the leading causes of cancer-related mortality among women. Accurate classification of breast cancer subtypes, based on molecular biomarkers such as oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), is critical for guiding treatment decisions and predicting outcomes....Read more
2024 07 Oct
Breast cancer remains one of the leading causes of cancer-related mortality among women. Accurate classification of breast cancer subtypes, based on molecular biomarkers such as oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), is critical for guiding treatment decisions and predicting outcomes....Read more
2024 06 Oct
Magnetic Resonance Imaging (MRI) is a widely used diagnostic tool that offers detailed visualisation of internal body structures. However, the process is often time-consuming, presenting economic and practical challenges. Efforts to improve the speed and efficiency of MRI scans have led to the use of parallel imaging (PI) and other acceleration...Read more
2024 16 Sep
Prostate cancer is the second most common cancer among men worldwide, making early detection crucial for reducing morbidity and mortality rates. One of the key tools for identifying clinically significant prostate cancer (csPCa) is multiparametric magnetic resonance imaging (mpMRI). However, the process of detecting prostate cancer through mpMRI...Read more
2024 16 Sep
Lung cancer remains a significant cause of mortality, and early detection is essential to improving patient outcomes. The advent of lung cancer screening trials like the National Lung Screening Trial (NLST) and the Danish Lung Cancer Screening Trial (DLCST) has highlighted the potential of low-dose computed tomography (CT) scans in detecting lung...Read more
2024 08 Sep
Motion artefacts during medical imaging, particularly in craniocervical angiography, pose significant challenges to accurate diagnosis and treatment planning. Digital Subtraction Angiography (DSA), a commonly used technique, suffers from image degradation caused by patient movement. This leads to increased radiation exposure and extended procedure...Read more
2024 19 Jul
Cardiovascular diseases (CVD) are the leading cause of mortality and morbidity in women worldwide. Traditional risk scores such as the Framingham score often fail to accurately assess the risk in women, leading to missed opportunities for early diagnosis and prevention. Recently, breast arterial calcifications (BAC), visible on routine mammograms,...Read more
2024 19 Jul
Cardiovascular diseases (CVD) are the leading cause of mortality and morbidity in women worldwide. Traditional risk scores such as the Framingham score often fail to accurately assess the risk in women, leading to missed opportunities for early diagnosis and prevention. Recently, breast arterial calcifications (BAC), visible on routine mammograms,...Read more
2024 10 Jul
Early detection of liver metastases is critical for effective cancer management and long-term prognosis. Computed Tomography (CT) scans play a pivotal role in this process, relying on various reconstruction algorithms to convert raw data into usable images. The most common technique, Adaptive Statistical Iterative Reconstruction-V (ASiR-V), reduces...Read more
2024 10 Jul
Early detection of liver metastases is critical for effective cancer management and long-term prognosis. Computed Tomography (CT) scans play a pivotal role in this process, relying on various reconstruction algorithms to convert raw data into usable images. The most common technique, Adaptive Statistical Iterative Reconstruction-V (ASiR-V), reduces...Read more
2024 13 Jun
Alzheimer's disease is characterised by the buildup of amyloid-β plaques in the brain. Amyloid PET imaging is crucial for diagnosis and treatment planning. While visual interpretation is common, it has limitations. Quantitative analysis, despite being more accurate, is operator-dependent. As disease-modifying treatments emerge, there's a growing...Read more
2024 29 May
While multiparametric magnetic resonance imaging (mpMRI) has become integral in prostate cancer (PCa) diagnosis, there's a debate regarding the inclusion of dynamic contrast-enhanced (DCE) sequences in future PI-RADS iterations due to questionable benefits. To address time constraints, biparametric (bp) protocols, omitting DCE sequences, have...Read more
2024 16 May
Treatment Effect Estimation (TEE) is essential in healthcare to evaluate the impact of treatment strategies on outcomes. While Randomized Clinical Trials (RCTs) are the gold standard, they are costly and time-consuming. Observational data, like medical claims, offer a complementary approach. Neural Network (NN) methods, especially Transformer-based...Read more
2024 16 May
The widespread use of modern imaging has led to increased detection of small renal masses (SRMs), but earlier interventions have not reduced renal cancer-specific mortality rates, as many of these lesions are benign or indolent. Revised guidelines suggest using a size cutoff of 3 cm for T1a stage renal cell carcinoma, highlighting the importance...Read more
2024 07 May
In the pursuit of automating the detection and segmentation of intracranial aneurysms (IAs), a recent study published in European Radiology aimed to address the challenge of automating the segmentation and detection of IAs using deep learning techniques, specifically focusing on magnetic resonance T1 images. Through a retrospective diagnostic...Read more
2024 07 May
In the pursuit of automating the detection and segmentation of intracranial aneurysms (IAs), a recent study published in European Radiology aimed to address the challenge of automating the segmentation and detection of IAs using deep learning techniques, specifically focusing on magnetic resonance T1 images. Through a retrospective diagnostic...Read more
2024 24 Apr
Deep learning (DL) models have shown promise in automating tasks like bone age prediction, yet concerns exist regarding their readiness in medicine, particularly in radiology, due to their limited robustness to common clinical image variations. A recent study published in Radiology: Artificial Intelligence assessed the robustness of the winning...Read more