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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AI in radiology: 3 key ethical issues the specialty must address

As the influence of artificial intelligence (AI) continues to grow in radiology, the specialty must come together to re-examine its ethics and code of behavior, according to a new commentary published in the Journal of the American College of Radiology.

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CAD system uses deep learning to detect, segment, classify masses from mammograms

Researchers have developed a fully integrated computer-aided diagnosis (CAD) system that detects, segments and classifies masses from mammograms using deep learning and a deep convolutional neural network (CNN), according to a new study published by the International Journal of Medical Informatics.

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ACR DSI co-sponsoring 2-day workshop focused on AI in medical imaging

The American College of Radiology Data Science Institute (ACR DSI) announced this week that it is co-sponsoring a National Institute of Biomedical Imaging and Bioengineering (NIBIB) workshop about artificial intelligence (AI) in medical imaging.

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Guerbet, IBM Watson Health collaborating on AI-based liver cancer solutions

Guerbet announced Tuesday, July 10, that it has signed an exclusive agreement to collaborate with IBM Watson Health and develop artificial intelligence (AI) software solutions that help detect, diagnose and treat liver cancer.

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ACR Data Science Institute begins releasing AI use cases for industry feedback

The American College of Radiology Data Science Institute (ACR DSI), which first launched in May 2017, has started releasing use cases from its TOUCH-AI library for industry feedback. A final release is scheduled for later this year.

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AI system beats team of 15 doctors in competition

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.

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Researchers explore AI’s potential to analyze medical images

A team of researchers from Singapore and the United States wrote about how their recent work with artificial intelligence (AI) could help healthcare providers with image analysis, sharing their analysis in a study published by Nature Medicine.

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Q&A: Angelic Bush on AI, clinical decision support and Florida in July

2018 has been an especially busy year for imaging leaders, with technology evolving at a rapid rate and healthcare policies continuing to change with the times. At AHRA 2018 in Orlando, many of those leaders will once again unite to share ideas, learn, network and have a little bit of fun. AHRA’s president, Angelic Bush, spoke with RBJ about some of the biggest trends in radiology right now and what she and her colleagues have planned for the big show in Orlando.

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