Search Tag: medical imaging
2025 17 Apr
RadNet, a leading provider of diagnostic imaging services and digital health solutions, has announced the acquisition of iCAD, a global company renowned for its AI-powered breast health technologies. The transaction, structured as an all-stock deal, aims to accelerate advancements in artificial intelligence for the early detection and diagnosis of...Read more
2025 30 Mar
Steatosis, marked by excessive fat in liver tissue, is an increasingly common clinical concern due to its association with metabolic dysfunction and the growing burden of related diseases. Traditionally diagnosed via invasive liver biopsy, steatosis now benefits from noninvasive imaging modalities such as MRI proton density fat fraction (PDFF)....Read more
2025 25 Mar
Image caption: Diverse Healthcare Team – Doctors, Surgeons and Nurses United for Patient Care The EU-REST project, supported by the European Commission through the EU4Health Programme, has produced landmark guidelines for radiologist staffing and training across the EU. This initiative emerges from a critical need to address increasing demands...Read more
2025 25 Mar
Image caption: Diverse Healthcare Team – Doctors, Surgeons and Nurses United for Patient Care The EU-REST project, supported by the European Commission through the EU4Health Programme, has produced landmark guidelines for radiologist staffing and training across the EU. This initiative emerges from a critical need to address increasing demands...Read more
2025 19 Mar
Through close collaboration between United Imaging and Papapostolou Healthcare Technologies, a leading provider of high-tech medical equipment and technical support, Agios Andreas General Hospital of Patras is set to enhance its diagnostic capabilities with the installation of the uMI 550. This state-of-the-art device delivers a new standard...Read more
2025 18 Mar
Healthcare organisations increasingly rely on Managed Service Providers (MSPs) to support IT operations. The growing complexity of technology, alongside resource constraints, has made MSPs a crucial extension of internal IT teams. Selecting the right MSP requires a deep understanding of healthcare-specific needs, including regulatory compliance,...Read more
2025 18 Mar
Magnetic Resonance Imaging (MRI) is crucial for medical diagnostics, providing insights into anatomical structures and diseases. However, variability in acquisition protocols across sites leads to inconsistencies in image appearance, caused by differences in scanner hardware, imaging parameters and patient demographics. This variability hinders...Read more
2025 18 Mar
The European Society of Radiology (ESR) has provided key recommendations for implementing the European Union’s Artificial Intelligence Act in medical imaging. As AI transforms radiology, it's crucial to comply with this regulatory framework to ensure patient safety, enhance clinical effectiveness and uphold ethical standards. While AI innovations...Read more
2025 18 Mar
The European Society of Radiology (ESR) has provided key recommendations for implementing the European Union’s Artificial Intelligence Act in medical imaging. As AI transforms radiology, it's crucial to comply with this regulatory framework to ensure patient safety, enhance clinical effectiveness and uphold ethical standards. While AI innovations...Read more
2025 10 Mar
The accuracy of radiology reports is critical to ensuring effective patient care, but the process of proofreading these reports is both time-intensive and prone to human error. Large language models (LLMs) offer a potential solution by automating the detection of common errors. While closed-source LLMs such as GPT-4 have demonstrated strong performance,...Read more
2025 10 Mar
Radiology, a crucial component of modern healthcare, significantly contributes to the environmental burden through energy consumption, medical waste and reliance on non-renewable resources. As global healthcare systems acknowledge the urgent need for sustainability, radiological societies have united to advocate for impactful and measurable actions....Read more
2025 10 Mar
The development of artificial intelligence in cancer research relies on access to extensive, high-quality imaging datasets. However, data fragmentation, heterogeneity and privacy concerns present significant challenges. The EUropean Federation for CAncer IMages (EUCAIM) initiative aims to overcome these obstacles by establishing a federated European...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 01 Mar
The advancement of contrast agents in radiology is significantly influencing the trajectory of medical imaging, integrating cutting-edge technology with sustainable practices. At the European Congress of Radiology, experts explored the key advancements, including strategies for minimising iodine contamination and the introduction of novel hyperpolarised...Read more
2025 28 Feb
AI-Powered Ultrasound: Transforming Imaging with Practical Innovation Ultrasound technology is advancing rapidly, and the latest systems are integrating practical AI to enhance efficiency, accuracy, and usability. With workforce shortages and growing patient demand, these innovations are reshaping medical imaging for professionals worldwide....Read more
2025 24 Feb
The integration of artificial intelligence into mammography screening has the potential to revolutionise breast cancer detection by improving efficiency and diagnostic accuracy. The Mammography Screening with Artificial Intelligence (MASAI) trial, a large-scale, randomised controlled study, assessed the impact of AI-supported screening compared...Read more
2025 24 Feb
The integration of artificial intelligence into mammography screening has the potential to revolutionise breast cancer detection by improving efficiency and diagnostic accuracy. The Mammography Screening with Artificial Intelligence (MASAI) trial, a large-scale, randomised controlled study, assessed the impact of AI-supported screening compared...Read more
2025 24 Feb
The integration of artificial intelligence into mammography screening has the potential to revolutionise breast cancer detection by improving efficiency and diagnostic accuracy. The Mammography Screening with Artificial Intelligence (MASAI) trial, a large-scale, randomised controlled study, assessed the impact of AI-supported screening compared...Read more
2025 14 Feb
We are pleased to announce that Diagnostica e Terapia Centro Aktis in Marano di Napoli has expanded its diagnostic department with three advanced imaging systems from United Imaging. These installations were possible thanks to our longstanding partnership with Fora, a trusted provider of outsourced diagnostic and therapy services with over 50...Read more
2025 04 Feb
The rapid advancement of large language models (LLMs) has led to increasing interest in their application within medical diagnostics. While traditional text-based models have demonstrated potential in clinical decision-making, newer multimodal models such as OpenAI’s GPT-4 with vision (GPT-4V) introduce the capability to process both textual and...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 10 Jan
Uterine fibroids are a prevalent gynaecological condition that can severely impact the quality of life, often requiring medical intervention. High-Intensity Focused Ultrasound (HIFU) has gained popularity as a non-invasive treatment due to its minimal recovery time and reduced risk compared to surgical options. However, not all patients respond...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 09 Dec
Cone Beam Computed Tomography (CBCT) has become an indispensable tool in radiotherapy, offering quick and reliable imaging for high-precision treatments such as image-guided radiotherapy (IGRT). Its ability to provide real-time positional information about tumours and organs makes it invaluable for adaptive radiation therapy (ART). However, CBCT...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 18 Nov
Integrating artificial intelligence (AI) into radiology is transforming medical imaging by promising more efficient and accurate diagnostic processes. Radiology AI tools are now assisting clinicians in detecting anomalies and interpreting images at a speed and precision that could redefine patient care. However, as these AI products grow more...Read more
2024 27 Oct
The rapid development of artificial intelligence (AI) technologies in healthcare, particularly radiology, has led to significant advancements in diagnostics and treatment. However, the generalisability and real-world applicability of AI algorithms remain a challenge. One of the critical factors limiting their adoption is the absence of high-quality...Read more
2024 14 Oct
The advent of language models in healthcare has transformed text-based applications, offering possibilities to interact with and use AI for various medical tasks. However, modern medicine requires more than just understanding medical text; it is inherently multimodal. To make well-rounded decisions, healthcare professionals must integrate diverse...Read more