All Articles
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AI: Opportunities, Capabilities and Limits
There is no doubt that Artificial Intelligence (AI) can transform how we deliver care. It can increase clinician productivity and improve efficiency and enable existing healthcare systems to provide care to more people than before. AI can also improve data analysis and utilisation, facilitate better decision-making and promote early diagnosis and...
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Hospitals-on-FHIR: Preparing Hospitals for European Health Data Space
Hospitals and other healthcare organisations are where health data is predominantly created. If the European Health Data Space (EHDS) is to become a reality for citizens, both via supporting primary use as well as secondary use of health data, data located in these organisations needs to be able to be shared. Experts, industry, and EU-funded projects...
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Artificial Intelligence and Echocardiography: Are We Ready for Automation?
Artificial intelligence has many potential applications in the field of cardiac imaging and echocardiography is not an exception. There are clear examples in different aspects like cardiac chamber quantification, assistance on the interpretation of stress echocardiography or the evaluation of valvular heart disease. We need to be prepared for automation...
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What Can the NHS Learn from Public Sector Supply Chain Attacks?
As organisations become increasingly connected through technology, there is a rising threat of becoming collateral in cyberattacks. It is imperative to evaluate the security practices and stances taken within any third-party organisation involved. Key Points The NHS plans to launch 42 Integrated Care Systems (ICS) across England this year....
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Integrating Decision Support and Artificial Intelligence in Radiology
Prof Elmar Kotter is the Vice-Chair and Director of Imaging Informatics & Quality and Risk Management at the Department of Radiology of Freiburg University Medical Center, Germany. He is also Chair of the eHealth and Informatics Subcommittee of the European Society of Radiology (ESR) and President of the European Society of Medical Imaging Informatics...
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Artificial Intelligence and Radiomics at the University of Florence
This paper provides an overview of current research at the Department of Radiology of the University of Florence. It concerns radiomics along with Artificial Intelligence (AI) applied to various medical fields. The need for personalised medicine and the transition from qualitative to quantitative imaging are at the heart of the projects...
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Integrated Cancer Care and Intelligent Imaging
Early diagnosis of cancer can lead to better patient care and better outcomes. In particular, the use of intelligent imaging technology along the patient’s journey, from screening to diagnosis to treatment, monitoring and follow-up, is essential. HealthManagement.org spoke to Dr Ben Newton, General Manager, Oncology at GE Healthcare, to discuss his...
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The Knowledge Model and Enabling Artificial Intelligence
The purpose of this paper is to provide a growth path to AI development. It is based on principles learned from launching CT, MRI, Neuro Vascular, and PACS. Key Points Create a model (The Knowledge Model) that will build with additional concepts as they develop, resulting in synergistic thinking (Causal Knowledge...
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"One Ring to Rule Them All" in AI – Affidea’s Experience
An overview of Affidea’s experience on the road to AI implementation and the need to understand the complexity of integrating multiple AI solutions safely, offering clear benefits to patients and radiologists. Artificial Intelligence in Healthcare Artificial Intelligence (AI) in radiology is growing at a fast pace. A 2020 study from the...
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Teamplay Digital Health Platform for Performance Management in Radiology
An overview of teamplay applications for performance management in radiology and how they offer a clear overview of performance data and facilitate radiology directors or clinical administrators to make fast and well-informed decisions. Key Points The teamplay digital health platform enables digital transformation by facilitating...
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