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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Deep learning detects, segments, classifies breast tumors with 93% accuracy

An integrated computer-aided diagnosis (CAD) system developed by researchers from Kyung Hee University and Sungkyunkwan University in South Korea could outperform current conventional deep learning methodologies used by radiologists to detect, segment and classify tumors from digital x-ray mammograms.

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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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First human imaged with novel 3D color x-ray scanner in New Zealand

A 3D color medical scanner invented by father and son scientists in New Zealand recently imaged its first human subject, according to a news release from the University of Canterbury in New Zealand.

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IBM Watson, Guerbet to develop AI imaging tool to help liver cancer diagnostics

IBM Watson Health and medical imaging contrast agent company Guerbet have entered a strategic partnership to develop artificial intelligence (AI) software to support liver cancer diagnostics and care by utilizing CT and MRI technology.

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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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Helping hands: Widening access to focused ultrasound in US reduces essential tremors

A Pennsylvania farmer suffering from essential tremors in both hands recalled how his experience undergoing focused ultrasound treatment was risky but ultimately worth it, according to a July 9 article by NPR.

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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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Texas center reduces radiation targeting variability with deep learning

A deep learning algorithm deployed at MD Anderson Cancer Center in Houston successfully automated and standardized clinical target volumes (CTVs) for radiation therapy in head and neck cancer patients.

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