Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Matching Machine Learning and Medical Imaging: Predictions for 2019

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Developments in vastly scalable IT infrastructure will soon increase the rate at which machine learning systems gain the capacity to transform the field of medical imaging across clinical, operational and business domains. Moreover, if the pace seems to be picking up, that’s because data management on a massive scale has advanced exponentially over just the past several years. 

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NYU’s Daniel Sodickson on AI, Facebook and Why Faster MR Scans Could Improve Healthcare

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A new project is seeking to make MRI scans up to 10 times faster by capturing less data. NYU’s Center for Advanced Imaging Innovation and Research (CAI2R) is working with the Facebook Artificial Intelligence Research group to “train artificial neural networks to recognize the underlying structure of the images to fill in views omitted from the accelerated scan.”

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Machine Learning 101: Simplifying It One Term at a Time

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Machine learning is one of the hottest topics in radiology and all of healthcare, but reading the latest and greatest ML research can be difficult, even for experienced medical professionals. A new analysis written by a team at Northern Ireland’s Belfast City Hospital and published in the American Journal of Roentgenology was written with that very problem in mind.

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Intelligence & Insight: The Latest News in AI and Machine Learning

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A compilation of the latest news in AI and machine learning

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Leveraging Technology, Data and Patient Care: How Geisinger Is Interjecting Insight & Action

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As an integrated health-delivery network comprising 13 hospital campuses, two research centers and a health plan with more than half a million subscribers sitting atop the biggest biobank with whole exome (DNA) sequence data in existence, Pennsylvania’s Geisinger Health System is one of the best-positioned institutions in the U.S. to explore the possibilities and initial successes of AI in healthcare. The institution is bringing complex algorithmic concepts to everyday patient care and showing others the path forward.

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Microsoft announces AI-powered healthcare chatbot

Microsoft unveiled a new tool that allows healthcare organizations to create their own AI-powered chatbots and virtual assistants for various services.

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VR app provides operating experience for medical students

GIBLIB, an Los Angeles-based streaming media platform, has launched a virtual reality (VR) app that provides an immersive operating room (OR) experience to medical students and physicians.

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Global healthcare robotics market to reach $11.4B by 2025

The development and use of robotic systems in healthcare is expected to surge over the next several years thanks to continuous technological advances, according to a report by BIS Research. The market intelligence firm predicts the global healthcare robotics market will reach $11.4 billion by 2025.

Around the web

In the post-COVID era, wages for permanent RNs are rising, and wages for travelers are decreasing. A new report tracked these trends and more. 

Two medical device companies have announced a transaction that could shake up the U.S. electrophysiology market. 

These companies were already part of the Johnson & Johnson family, but they had still retained their previous brand names. Now, each one is officially going by Johnson & Johnson MedTech. 

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