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 practice....Read 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 infrastructure...Read 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 convolutional...Read 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 investigation...Read 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 which...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 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 improve...Read more
2025 28 Jul
Radiology is central to contemporary clinical practice, offering vital imaging insights that support diagnosis and treatment planning. Formalised radiology reports remain essential for conveying imaging findings to referring physicians, traditionally produced through manual interpretation. To enhance reporting efficiency, speech recognition software...Read more
2025 21 Jul
Incidental pulmonary embolism (iPE) represents a potentially life-threatening condition frequently detected in contrast-enhanced CT (CECT) scans conducted for unrelated clinical reasons. Early diagnosis is critical, especially given the disparity in mortality rates between untreated and promptly managed cases. Conventional CT pulmonary angiography...Read more
2025 06 Jul
Lung cancer is the leading cause of cancer mortality worldwide, primarily due to late-stage diagnoses. The introduction of low-dose computed tomography (LDCT) screening has proven effective in detecting lung cancer at earlier stages, significantly improving survival rates. Targeting high-risk populations—particularly current or former smokers—screening...Read more
2025 09 Jun
The integration of artificial intelligence into radiology promises to reduce workload and enhance diagnostic efficiency. However, despite an abundance of commercially available AI solutions, implementation often falters due to misalignment with clinical workflows and institutional needs. To overcome these limitations, radiology departments increasingly...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 04 May
Prostate cancer detection relies heavily on multiparametric magnetic resonance imaging (mpMRI), particularly T2-weighted imaging (T2WI). However, image quality (IQ) varies across scans, often due to motion artifacts or hardware limitations. This variability can prompt unnecessary repeat scans, consuming time and resources. In response, researchers...Read more
2025 25 Apr
Integration of artificial intelligence into healthcare systems prompts essential questions about efficacy, ethics and patient trust. Among imaging modalities, mammography stands out for its suitability for AI applications due to its standardisation and high volume of diagnostic data. However, clinical implementation hinges not only on technical validation...Read more
2025 14 Apr
The practice of diagnostic radiology has undergone immense transformation due to technological and scientific progress. However, these advancements have not translated into a reduced workload for radiologists. An updated analysis of the 2024 medical imaging literature reveals that, rather than easing the burden, recent developments—especially in artificial...Read more
2025 08 Feb
The integration of artificial intelligence in cancer imaging represents a transformative shift in diagnostic and treatment planning. AI-driven models have the potential to enhance precision, efficiency and decision-making in oncology. However, a persistent challenge is the disparity between technical and clinical perspectives on AI validation....Read more
2024 16 Dec
Artificial intelligence (AI) advancements are revolutionising the healthcare industry, offering unprecedented opportunities to improve diagnostic accuracy and efficiency. One critical area benefiting from these innovations is lung cancer detection. Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and early detection...Read more
2024 29 May
Lung nodules are crucial indicators of lung cancer, particularly in individuals with emphysema, a condition linked to smoking that alters lung structure on CT scans. Although automated AI algorithms offer promise in aiding radiologists, their performance may vary based on the presence of emphysema, potentially leading to increased false positives...Read more
2024 23 May
OpenAI’s ChatGPT, powered by generative pretrained transformer language models, has shown promise in various fields, including medicine and radiology, despite its default version not being fine-tuned for specific domains. Studies have demonstrated its potential in assisting with decision-making, protocol creation, and patient inquiries. However,...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 09 Apr
Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will further develop its innovation platform to accelerate the development and deployment of AI-powered healthcare applications with a clear...Read more
2024 09 Apr
The evolution of computing power has revolutionized the field of medical imaging, particularly in the realm of computed tomography (CT). One of the significant milestones in this evolution has been the introduction of iterative reconstruction methods, aimed at reducing image noise and radiation dose in CT scans. Initially, these methods were combined...Read more
2024 26 Mar
Medical imaging AI company Avicenna.AI today announced that it has received 510(k) clearance from the US Food and Drug Administration for its CINA-iPE and CINA-ASPECTS products. Using a combination of deep learning and machine learning technologies, the company develops AI solutions that automatically detect and prioritize life-threatening conditions...Read more
2024 29 Feb
New CT 5300 system provides more accurate and reliable imaging results to better manage increase in complex cardiac cases where precise patient diagnosis is crucial Philips’ latest innovation leverages the power of AI at every stage in CT scanner operation to enhance productivity and diagnostic capabilities of high-throughput, short-staffed...Read more
2024 09 Feb
Royal Philips , a global leader in health technology, announced it will introduce its latest differentiating, AI-enabled innovations to improve patient care at the European Congress of Radiology (ECR) annual meeting in Vienna. By leveraging AI, these new technologies can help healthcare professionals make more accurate diagnoses, streamline workflows,...Read more
2024 07 Feb
Jerome Descheirder has embarked on a new journey as a Member Board of Directors at PAIRE . With a distinguished career spanning over two decades, Descheirder brings a wealth of experience and expertise to his new role. Prior to his appointment at PAIRE, Descheirder showcased his leadership prowess as a Member Board of Directors...Read more
2024 07 Feb
A groundbreaking study has introduced a pioneering method to predict lymph node metastasis (LNM) in patients with non-functional pancreatic neuroendocrine tumours (NF-PanNETs), aiding in tailored treatment strategies and enhancing patient outcomes. Recently published in eClinicalMedicine, the research team from the University of Tsukuba harnessed...Read more
2024 22 Jan
RSNA and four other radiology societies from around the world have issued a joint statement on the development and use of artificial intelligence (AI) tools in radiology. The statement was published today in RSNA's journal, Radiology: Artificial Intelligence . "AI tools are an essential part of radiology's future," said RSNA President Curtis...Read more
2023 09 Aug
Located in the capital city of Zagreb, the teaching hospital Sisters of Charity is a prestigious medical institution boasting a tradition spanning over 180 years, making it one of the oldest and largest in the Republic of Croatia. This state-of-the-art centre offers an extensive range of medical services while maintaining a strong focus...Read more
2023 10 Jul
Canon Medical is delighted to announce the commercial availability of its two latest ultrasound systems, Aplio flex and Aplio go, in Europe. With the growing challenges faced by medical staff, including high workload and work-related musculoskeletal disorders, Canon Medical recognizes the importance of supporting healthcare professionals in their daily...Read more