Latest Articles in Artificial-Intelligence

How Data Intelligence Will Be Crucial for Predicting the Next Pandemic

Artificial intelligence developments in machine and deep learning are benefitting from the experience of COVID-19 to pave the way for future pandemic outbreaks. Key Points The generalised use of big data in healthcare implies a revolution that is reshaping the industry as we know it. Artificial intelligence...
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COVID-19 Paving the Way for Robots in Healthcare

HealthManagement.org spoke to Héctor González-Jiménez, Associate Professor in Marketing at ESCP Business School in Madrid and researcher about COVID-19 and the use of robotics in diagnosis and treatment. Héctor is interested in interdisciplinary research that addresses phenomena on the self and consumption. Currently, his work spans areas such...
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Smart Diagnostics

Diagnostics in healthcare has always been an area that has been downplayed. That is probably why inaccurate and/or delayed diagnosis is something that has persisted in this field for decades. It is a systemic problem that continues to have an impact on patient treatment and outcomes. The solution could potentially lie in smart diagnostics...
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Artificial Intelligence in Breast Imaging Will Shift the Landscape

The development and refinement of Artificial Intelligence (AI) for use in radiology practice continues. However, this development leads to many questions and concerns. Prof. Baker provides an overview. The development and refinement of Artificial Intelligence (AI) for use in radiology practice is advancing. Scientific journals continue...
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A Snapshot of Imaging Technology: Exciting Developments and When to Expect Them

Conversations with thousands of clinicians have given KLAS Research a picture of the current trends in medical imaging technology. Current users’ successes and failures have generated some best practices for successfully implementing new technology. Key Points Enterprise imaging strategies and tools are being widely adopted in many...
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Imaging Solutions for a New Reality

During these challenging times, Canon Medical Systems has continued to provide high quality support to its customers and partners. Jack Hoogendoorn, European Director Marketing, provides an overview of the solutions offered by Canon during the COVID-19 crisis. We are all experiencing challenging times due to the Coronavirus, which...
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Big Data: Application of Folksonomy for Clinical Nephrology Research

Summary: Nephrology researchers show how natural language processing can enable a more efficient and effective use of the vast amount of healthcare big data. The daily activity in the medical field generates a multitude of data from clinical records and reports, collected from anamnesis and physical examination, laboratory and other tests,...
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Facing Digitalisation Head On

Summary: Healthcare digitalisation looks good on paper but putting it into practice is complex, challenging personnel, different departments, modalities and education, to name a few factors impacting implementation. HealthManagement.org spoke to two leading lights on how they think healthcare chiefs need to adapt, to successfully embrace the paradigm...
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Artificial Intelligence - Putting Patients First

A recent MIT Technology Review Insights survey looked at the current and potential future applications of artificial intelligence (AI) in the healthcare environment. This article discusses the survey’s findings, and looks at how these technologies are ‘re-humanizing’ healthcare, by aiding the transition from target- to value-based care models....
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Children in the Spotlight: When Every Second Counts

The University Hospital of the Free University of Brussels (UZ Brussel) in Belgium is pioneering the use of real-time deep learning-based image reconstruction (DLIR) on CT scan, exploring the benefits it offers for rapid pediatric evaluation, including lower dose and enhanced efficiency. In healthcare, it is acknowledged that...
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