Search Tag: AI in radiology
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 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 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 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 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 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 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 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 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 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
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 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 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 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
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
2022 08 Jul
Dr Anjum Ahmed is the Chief Medical Officer at Agfa HealthCare. He has played an essential role in steering the company’s innovation strategy for Enterprise Imaging and Artificial Intelligence. Dr Ahmed has over 23 years of global experience in solutions innovation, governance, change management and digital transformation. Before joining Agfa HealthCare,...Read more
2019 02 Oct
A visionary radiologist explains how the European Society of Medical Imaging Informatics is bringing imaging and informatics together for best practices and patient outcomes. What is the mission of the European Society of Medical Imaging Informatics (EuSoMII)? Today, everything is related to the development of Artificial Intelligence...Read more