Search Tag: Deep Learning
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 01 Oct
Sepsis frequently results in acute kidney injury, prolonging hospital stay and increasing mortality risk. Incidence estimates range from 35–50% in sepsis and rise to 50–70% in intensive care. Early prediction remains difficult because current approaches rely on blood and urine tests that can be costly, variable and not always available in time...Read more
2025 01 Oct
Sepsis frequently results in acute kidney injury, prolonging hospital stay and increasing mortality risk. Incidence estimates range from 35–50% in sepsis and rise to 50–70% in intensive care. Early prediction remains difficult because current approaches rely on blood and urine tests that can be costly, variable and not always available in time...Read more
2025 24 Sep
Prostate cancer remains a major global burden, while diagnostic pathways continue to evolve to balance accuracy, invasiveness and resource use. Multiparametric MRI is central to noninvasive assessment but can be affected by motion, interpretation variability and scan duration. Researchers have reported an in silico evaluation of MRI histopathology,...Read more
2025 12 Sep
Chronic obstructive pulmonary disease is heterogeneous, with emphysema, chronic bronchitis and recurrent exacerbations driving morbidity. Global cases among adults are projected to rise by 23% from 2020 to 2050, approaching 600 million, underscoring the need for tools that characterise disease beyond spirometry. Chest CT has become central to...Read more
2025 02 Sep
Positron emission tomography (PET) is widely used in oncology and other areas of clinical practice for diagnosis, staging, treatment monitoring and follow-up. High-quality images are essential for detecting small lesions and guiding decisions, but image clarity is strongly linked to scan duration. While longer acquisitions improve image quality,...Read more
2025 02 Sep
Accurate identification and quantification of lung cancer lesions is critical for diagnosis, staging, treatment planning and disease monitoring. While primary tumours receive most attention in radiological evaluations, patients often present with multiple lesions that must also be assessed for a complete picture of disease burden. Traditional...Read 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 significantly...Read more
2025 25 Aug
Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, largely due to its frequent diagnosis at advanced stages. While contrast-enhanced computed tomography remains the standard imaging method for pancreatic cancer evaluation, nearly 40% of early-stage tumours can still go undetected. Deep learning approaches have emerged...Read more
2025 25 Aug
Radiologists face increasing pressure to deliver rapid and accurate interpretations of a growing volume of medical imaging studies. Deep learning offers an opportunity to enhance diagnostic workflows by linking imaging data with text, streamlining reporting and supporting decision-making. Through recent advances in artificial intelligence, models...Read more
2025 25 Aug
Radiologists face increasing pressure to deliver rapid and accurate interpretations of a growing volume of medical imaging studies. Deep learning offers an opportunity to enhance diagnostic workflows by linking imaging data with text, streamlining reporting and supporting decision-making. Through recent advances in artificial intelligence, models...Read more
2025 06 Jul
Hepatocellular carcinoma (HCC) is a major global health burden and ranks among the leading causes of cancer-related deaths. Despite curative treatments such as liver resection or transplantation, HCC exhibits high recurrence rates, often due to microvascular invasion (MVI), a pathological hallmark of tumour aggressiveness. Accurate preoperative...Read more
2025 06 Jul
Chronic back pain (CBP) remains a leading cause of disability across Europe, impacting over 80 million people and incurring high healthcare costs. Although CBP lacks a specific pathoanatomical origin in most cases, research increasingly points to the role of muscle composition—specifically lean muscle mass (LMM) and intermuscular adipose tissue...Read more
2025 01 Jul
Prostate cancer remains a major global health issue for men, and timely diagnosis is vital to ensuring effective treatment. Accurate segmentation of prostate cancer (PCa) lesions on MRI scans is a critical step in evaluating tumour extent, guiding biopsies and supporting treatment decisions. While magnetic resonance imaging (MRI) has proven effective...Read more
2025 20 Jun
Magnetic resonance imaging (MRI) remains the most sensitive tool for breast cancer detection, particularly in women with dense breast tissue. Its growing application spans screening high-risk populations, staging malignancies and assessing treatment response. However, long acquisition times and susceptibility to image artefacts have limited broader...Read more
2025 20 Jun
Magnetic resonance imaging (MRI) remains the most sensitive tool for breast cancer detection, particularly in women with dense breast tissue. Its growing application spans screening high-risk populations, staging malignancies and assessing treatment response. However, long acquisition times and susceptibility to image artefacts have limited broader...Read more
2025 20 Jun
Accurate and timely imaging is central to the evaluation of memory loss, particularly in conditions such as Alzheimer’s disease and other neurodegenerative disorders. The magnetisation-prepared rapid gradient echo (MPRAGE) sequence, a standard T1-weighted three-dimensional MRI technique, has long been a clinical mainstay for visualising cerebral...Read more
2025 09 Jun
Locally advanced rectal cancer (LARC) continues to present challenges in treatment due to the high variability in patient outcomes following standard protocols. While total mesorectal excision combined with neoadjuvant chemoradiotherapy (nCRT) has improved local control, recurrence or metastasis remains common. Identifying patients at high risk...Read more
2025 25 May
Accurate molecular classification of endometrial cancer (EC) is pivotal for risk stratification, treatment decisions and outcome prediction. The 2023 FIGO staging guidelines underscore the importance of integrating molecular subtypes—POLEmut, MMRd, NSMP and p53abn—into routine diagnosis. However, economic constraints, technical limitations and...Read more
2025 25 May
Accurate molecular classification of endometrial cancer (EC) is pivotal for risk stratification, treatment decisions and outcome prediction. The 2023 FIGO staging guidelines underscore the importance of integrating molecular subtypes—POLEmut, MMRd, NSMP and p53abn—into routine diagnosis. However, economic constraints, technical limitations and...Read more
2025 25 May
Accurate molecular classification of endometrial cancer (EC) is pivotal for risk stratification, treatment decisions and outcome prediction. The 2023 FIGO staging guidelines underscore the importance of integrating molecular subtypes—POLEmut, MMRd, NSMP and p53abn—into routine diagnosis. However, economic constraints, technical limitations and...Read more
2025 25 May
Coronary artery calcium (CAC) scoring is a valuable diagnostic tool for assessing cardiovascular risk, particularly in asymptomatic individuals. Traditionally, this assessment relies on electrocardiogram (ECG)-gated computed tomography (CT) scans to quantify calcified plaque burden in the coronary arteries. However, such scans are not always available...Read more
2025 16 May
Accurate identification of epidermal growth factor receptor (EGFR) mutations plays a central role in guiding targeted treatment decisions for patients with lung adenocarcinoma. Current clinical methods for EGFR status detection, including tissue and liquid biopsies, present several limitations. Tissue biopsies are invasive, may not be feasible...Read more
2025 13 May
Pulmonary hypertension (PH) remains a critical health concern, affecting approximately 1% of the global population and up to 10% of older adults. Characterised by vascular remodelling and right-sided heart failure, PH has a poor prognosis if not diagnosed early. Traditional diagnostic approaches, particularly right heart catheterisation (RHC),...Read more
2025 14 Apr
Accurately classifying prostate cancer (PCa) aggressiveness is essential for effective treatment planning, yet traditional methods such as biopsy carry risks and may lead to sampling errors. Biparametric MRI (bpMRI), a noninvasive imaging technique, has gained prominence in PCa staging. The rise of deep learning (DL) offers potential for automating...Read more
2025 09 Apr
Radiomics has emerged as a transformative tool in neuro-oncology, offering a noninvasive means to quantify tumour characteristics and support clinical decisions. Through computational analysis of imaging data, radiomics enables detailed insight into tumour biology, enhancing diagnostic precision, prognostication, treatment planning and monitoring....Read more
2025 10 Mar
Accurate preoperative classification of gastric cancer (GC) is essential for determining appropriate treatment strategies. The Lauren classification system categorises GC into intestinal and diffuse types, influencing both prognosis and therapeutic approaches. While conventional diagnostic methods, such as endoscopic biopsy, provide histological...Read more
2025 02 Feb
Oesophageal cancer remains a major global health challenge due to its high mortality rate and typically late-stage diagnosis. The disease is often detected only when symptoms become apparent, by which time treatment options are limited and prognosis is poor. Early detection is critical for improving survival rates, yet conventional imaging techniques...Read more