Search Tag: AI in radiology
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 implementation of low-dose computed tomography (LDCT) screening has significantly improved early lung cancer detection, leading to reduced mortality in high-risk populations. Early detection allows for timely treatment interventions. Many countries are moving toward national screening programmes, necessitating a structured and standardised approach...Read more
2025 01 Mar
The session AI Integration in a Nutshell at the European Congress of Radiology explored key challenges and opportunities in AI adoption for medical imaging. Three experts—Willem Grootjans, Sergey Morozov and Kicky Gerhilde Van Leeuwen—shared insights on user expectations, workflow integration and AI marketplaces, highlighting the critical role of...Read more
2025 01 Mar
The session on nuclear medicine at the European Congress of Radiology showcased cutting-edge advancements in AI, radiomics, emerging imaging technologies and radioprotection. Experts highlighted how these innovations are transforming diagnostics, treatment precision and safety in nuclear medicine. AI and Radiomics: Transforming Nuclear...Read more
2025 28 Feb
The European Congress of Radiology session on interventional radiology brought together leading experts to explore key developments in the field. The discussions spanned emerging techniques in oncology, the evolving responsibilities of radiographers and the critical importance of safety and radioprotection during interventional procedures. Attendees...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 28 Feb
AI-driven image reconstruction in radiology holds great promise for enhancing image quality and improving diagnostic capabilities. However, concerns persist regarding the reliability of AI models, the lack of clinical validation and the risk of unintentional distortions in medical imaging. At the European Congress of Radiology, experts examined key...Read more
2025 28 Feb
At ECR 2025 , the session "Sustainability and Equity in Radiology AI: Ensuring a Fair Future" brought together leading experts to discuss the environmental and ethical challenges of artificial intelligence in radiology. As AI becomes increasingly integrated into clinical practice, its impact extends beyond efficiency and accuracy to broader...Read more
2025 27 Feb
Recent advancements in lung cancer imaging and treatment are transforming patient care, shifting towards precision medicine, multidisciplinary collaboration and cutting-edge technologies. Experts at the European Congress of Radiology highlighted key developments from the perspectives of oncologists, thoracic surgeons and radiologists, underscoring...Read more
2025 25 Feb
Emergency radiology is integral to trauma care, providing rapid imaging assessments that guide critical treatment decisions. The increasing volume of imaging studies, coupled with the complexity of radiologic classification systems, presents challenges for radiologists who must navigate multiple frameworks to ensure accurate diagnoses. As the...Read more
2025 04 Feb
Colorectal cancer is a major cause of cancer-related mortality, but early detection and removal of adenomatous polyps can prevent its progression. Optical colonoscopy is the primary screening method, though CT colonography offers a non-invasive alternative with high sensitivity. However, CT colonography cannot reliably differentiate between adenomatous...Read more
2025 02 Feb
Artificial intelligence is revolutionising radiology, enhancing diagnostic accuracy, optimising workflow efficiency and improving patient care. However, integrating AI-generated insights into radiology reports presents challenges, particularly in ensuring consistency and interoperability across diverse healthcare systems. Traditional reporting...Read more
2024 30 Nov
Lung cancer remains the leading cause of cancer-related deaths globally, claiming millions of lives annually. One of the key contributors to this high mortality rate is the late-stage diagnosis of the disease, which drastically limits treatment options and reduces survival rates. Early detection, particularly in localised stages, significantly...Read more
2024 26 Nov
The convergence of artificial intelligence (AI) and cloud technology is transforming radiology, addressing the long-standing challenges of cost management, efficiency and diagnostic accuracy. With healthcare demands escalating and patient expectations changing, traditional imaging systems face increasing pressure to deliver improved outcomes with constrained...Read more
2024 26 Nov
Pneumothorax (PTX) detection is a critical aspect of diagnostic radiology, particularly in emergency and trauma care, where timely and accurate diagnoses are vital. Increasing imaging demands, coupled with a global shortage of radiologists, have created significant challenges for healthcare systems. Delays in diagnosis can lead to worsened outcomes,...Read more
2024 16 Nov
Radiology is at the forefront of a digital revolution, with artificial intelligence (AI) transforming traditional diagnostic workflows. Among the most significant advancements is the application of large language models (LLMs) like OpenAI’s GPT-4. Equipped with its Advanced Data Analysis (ADA) capabilities, GPT-4 has the potential to aid radiologists...Read more
2024 03 Nov
Advances in medical imaging technology have revolutionised cardiovascular diagnostics, yet non-invasive techniques for assessing myocardial oxygenation remain a challenge. Traditional methods like positron emission tomography (PET) are effective but have limitations such as radiation exposure, cost and accessibility. Recently, an innovative approach...Read more
2024 21 Oct
The increasing prevalence of cardiovascular disease (CVD) necessitates efficient methods for early detection and risk assessment. Coronary Artery Calcium Scoring (CACS) using computed tomography (CT) has long been established as a reliable tool to identify coronary artery calcifications (CAC) and predict potential cardiovascular events. Traditionally,...Read more
2024 01 Oct
The inner ear's intricate three-dimensional anatomy presents substantial challenges for diagnosis and surgical planning, requiring precise imaging to navigate its complex structures. Traditional manual segmentation of inner ear structures from computed tomography (CT) scans is time-consuming and can introduce variability due to human error. With...Read more
2024 23 Sep
Radiology reports are essential in clinical practice, providing key diagnostic information from imaging studies. These reports typically comprise two parts: detailed imaging findings and an impression section that delivers a diagnostic summary, including differential diagnoses and recommendations. The interpretation and generation of these impressions...Read more
2024 16 Sep
Artificial Intelligence (AI) has been making significant strides in various fields, including healthcare, where its role is evolving rapidly. Large language models (LLMs), such as OpenAI's GPT-4, have demonstrated impressive capabilities in natural language processing, solving complex tasks like summarisation, translation, and question answering....Read more
2024 25 Aug
More than three-quarters of the nearly 900 FDA-approved medical devices on the market pertain to radiology, encompassing AI tools for image reconstruction, diagnostic support, and administrative automation. This significant emphasis on radiology highlights radiologists' critical role in developing and integrating AI technologies. However, as these...Read more
2024 25 Aug
Among the most prominent AI models, ChatGPT-4 has shown remarkable potential in tackling complex educational tasks, particularly in medical fields. With its ability to interpret and respond to both text and image-based questions, ChatGPT-4 is increasingly being explored as a tool to aid in the preparation for medical certification exams. This article...Read more
2024 31 Jul
Integrating artificial intelligence (AI) into radiology and diagnostic imaging offers enhancements in efficiency, accuracy, and patient outcomes. However, the journey from development to clinical deployment is fraught with complexities that span clinical, cultural, computational, and regulatory domains. A recent article published in Radiology:...Read more
2024 10 Jul
Artificial intelligence (AI) has made remarkable strides in recent years, particularly with the development of large language models (LLMs) such as OpenAI’s GPT-3.5 and GPT-4. These models, trained on extensive datasets using deep neural networks, have shown impressive capabilities in various fields, including medicine and radiology. GPT-4, a multimodal...Read more
2023 23 Jun
Isala overcomes daily challenges with contextflow ADVANCE Chest CT More patients in the healthcare system - that's what healthcare economists predict – and that means more radiological examinations and findings. "If the predictions come true, we will have to become more efficient in what we do. I see artificial intelligence (AI) as part of...Read more
2019 03 Apr
Hitachi Healthcare recently unveiled top of the line new additions to their growing imaging diagnostics family. Hitachi, a dominant force in the field for over 6 decades continues to lead the charge in medical imaging innovation through designing equipment that maximize benefit and comfort for both healthcare professionals and patients. Cutting...Read more