Search Tag: AI in radiology
2025 10 Nov
Personalised breast cancer screening relies on accurate near-term risk assessment to balance early detection with the harms of overdiagnosis. Interval cancers (ICs) that emerge between routine screens are linked to delayed diagnosis, larger tumours and poorer prognoses compared with screen-detected cancers. A mammography-based deep learning model,...Read more
2025 03 Nov
Low-field magnetic resonance imaging (MRI) gains renewed attention as advances in hardware and software narrow the performance gap with high-field systems. Historically sidelined for lower signal-to-noise ratio and reduced spatial resolution, low-field platforms now integrate optimised magnet designs, improved radiofrequency coils and AI-enabled...Read more
2025 25 Oct
Distinguishing atypical lipomatous tumours (ALT) from simple lipomas (SL) on magnetic resonance imaging (MRI) influences biopsy decisions, surgical planning and follow-up. While MRI is the preferred modality for lipomatous masses, day-to-day accuracy can vary, particularly for specificity. A machine learning approach using Bayesian additive regression...Read more
2025 11 Oct
Large, well-annotated mammography resources are essential for developing and evaluating artificial intelligence in population screening, particularly when labels include Breast Imaging Reporting and Data System (BI-RADS) categories, breast composition and quadrant-level localisation. Such structure supports both classification and localisation...Read more
2025 06 Oct
Magnetic resonance imaging (MRI) is increasingly used alongside computed tomography in pancreatic assessment due to superior contrast resolution and the absence of radiation. Technical advances have enabled high-resolution three-dimensional T1-weighted gradient echo (3D T1w GRE) acquisitions that improve anatomical detail but may reduce signal-to-noise...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 21 Sep
Radiology departments face rising imaging volumes, growing complexity of examinations and increasing pressure to deliver accurate reports efficiently. While artificial intelligence has been adopted to assist with specific detection or triage tasks, such narrow systems have clear limitations when deployed at scale. They often duplicate costs, fragment...Read more
2025 08 Sep
Low-dose CT screening aims to find lung cancer earlier, but the value of artificial intelligence as an independent reader depends on how reliably it flags scans with risk-dominant nodules and assigns the correct nodule type. An evaluation of baseline screening in a Chinese general population compared reconstruction choices to see how they affect...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 20 Jul
Accurate protocol selection for abdominal CT examinations is a critical component of radiology practice. Appropriate configuration of acquisition parameters and effective use of contrast media depend on choosing the correct protocol, which directly influences diagnostic precision and clinical outcomes. Despite its importance, the task of protocolling...Read more
2025 01 Jul
Breast cancer, the most prevalent malignancy in women worldwide, is categorised into four molecular subtypes based on receptor expression: luminal A, luminal B, HER2-enriched and triple-negative breast cancer (TNBC). These classifications guide therapeutic decisions and impact prognosis. Conventional methods of determining subtypes rely on biopsy-based...Read more
2025 01 Jul
Hepatocellular carcinoma (HCC) is a prevalent malignancy and a leading cause of cancer-related mortality worldwide. Despite curative interventions like hepatectomy and liver transplantation, recurrence rates remain high, with microvascular invasion (MVI) serving as a critical prognostic marker. Current methods to determine MVI rely on postoperative...Read more
2025 30 Jun
Breast arterial calcification (BAC), once considered a benign incidental finding in mammographic imaging, is now increasingly recognised as a significant marker of cardiovascular disease (CVD) risk. Its detection through standard mammograms offers a unique opportunity for dual-purpose screening in women, targeting both breast cancer and cardiovascular...Read more
2025 20 Jun
Small renal masses (SRMs), frequently detected through imaging, are often managed through active surveillance. This approach involves serial monitoring using contrast-enhanced CT, which is widely used due to its diagnostic precision, availability and speed. However, the repeated imaging required over time raises concerns about cumulative radiation...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 15 Jun
Accurate and timely diagnosis of acute pulmonary embolism (PE) is essential for initiating appropriate treatment and improving patient outcomes. Computed tomography angiography (CTA) has become the preferred imaging modality for PE when it cannot be excluded by clinical evaluation and D-dimer testing. Beyond detection, CTA provides vital prognostic...Read more
2025 09 Jun
Deep learning has transformed medical image segmentation, yet its performance often declines when applied to data from unfamiliar domains. This is especially problematic in abdominal imaging, where variability across scanners, protocols and patient demographics can limit the reliability of automated tools. To address this challenge, a new model...Read more
2025 04 May
Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorder worldwide, yet early diagnosis remains a significant challenge. Standard clinical assessments and conventional MRI lack specificity, leading to notable misclassification rates, especially in early disease stages. While advanced imaging modalities can improve diagnostic...Read more
2025 04 May
Accurate localisation of prostate lesions is essential for the effective diagnosis and management of prostate cancer, which remains one of the most common cancers in men across Europe and North America. Multiparametric MRI (mpMRI) plays a crucial role in the detection of clinically significant prostate cancer, offering benefits such as reducing overdiagnosis...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 25 Mar
Pulmonary infections pose a significant risk to immunocompromised individuals, contributing to high morbidity and mortality rates. Early and accurate detection of pneumonia is critical to guiding appropriate treatment, particularly in cases of invasive fungal pneumonia, which requires distinct therapeutic strategies. Computed tomography (CT) is...Read more
2025 17 Mar
Breast cancer remains a significant global health concern, with mammography serving as a primary screening tool. Despite advancements in imaging technology, early detection of malignancies remains challenging due to the limited contrast of lesions and high rates of false negatives. Traditional assessments rely on radiologist expertise, often requiring...Read more
2025 17 Mar
Ensuring the quality of chest radiographs is essential for accurate diagnostics and effective training of artificial intelligence models in radiology. Traditional quality control (QC) methods require significant manual effort from radiologists, limiting efficiency and scalability. To address these challenges, a comprehensive automated QC pipeline...Read more
2025 17 Mar
The integration of large language models (LLMs) into radiological workflows has emerged as a promising development in medical imaging. Brain MRI differential diagnosis requires substantial expertise, as radiologists must interpret complex imaging findings while synthesising clinical information. The ability to generate accurate differential diagnoses...Read more
2025 10 Mar
Accurate preoperative assessment of lymphovascular invasion (LVI) in rectal cancer is essential for guiding treatment strategies and improving patient outcomes. LVI is a critical factor influencing tumour progression, metastasis and prognosis. Traditional imaging methods, including standard magnetic resonance imaging (MRI), face limitations in...Read more
2025 04 Mar
Prostate cancer remains one of the most prevalent malignancies in men, necessitating advances in diagnostic imaging to enhance detection and treatment planning. Traditional imaging techniques, including multiparametric magnetic resonance imaging (mpMRI) and contrast-enhanced ultrasound (CEUS), provide insights into vascular structures within the...Read more
2025 02 Mar
United Imaging, a global leader in manufacturing advanced medical imaging and radiotherapy equipment, showcases a range of cutting-edge technologies aligned with sustainable values. Notably, the company achieves an A rating in the MSCI ESG ratings, highlighting its unwavering commitment to transforming medical diagnostics and patient care worldwide...Read more
2025 01 Mar
The European Congress of Radiology (ECR) brought together leading experts to discuss the future of radiology, focusing on innovation, patient empowerment and workflow optimisation. Bayer’s session featured key insights from industry leaders, medical experts and patient advocates, highlighting the transformative role of AI, early diagnosis and improved...Read more
2025 28 Feb
Canon Medical unveiled at ECR 2025 a series of groundbreaking advancements at its booth during a major radiology congress, focusing on enhanced imaging quality, workflow efficiency, and mobile healthcare solutions. These innovations aim to address critical industry challenges, such as improving accessibility, integrating artificial intelligence (AI),...Read more
2025 28 Feb
The session "Bringing Value-based Radiology to the Next Level" at the European Congress of Radiology explored the evolving role of radiology in delivering patient-centred value. Experts discussed metrics for assessing radiology’s impact, the diverse perspectives of stakeholders and the integration of sustainability into value-based care. ...Read more