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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Tireless empathy the goal as Humana brings in AI coaches

Looking to keep “compassion fatigued” call-center workers from growing increasingly insensitive to customers over the course of a workday, Humana’s mail-order pharmacy business has deployed AI-based software that sends reminders aimed at keeping the empathy consistent.

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AI alters images to fool radiologists—it may be a target for cyberattacks

A new study found that machine learning networks can learn to alter images so they are indistinguishable from real ones. Researchers warned this may tempt criminals to use such platforms for cybersecurity attacks.

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MRI scans show a stronger body means a stronger brain

German researchers have found that physical fitness can actually improve brain structure and brain functioning in young people, according to a study presented at the European College of Neuropsychopharmacology (ECNP) Congress in Copenhagen.

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Google looking to patent AI-based baby monitoring

Advancing its interest in AI for smart homes, Google has filed a patent for AI technology that would monitor babies by tracking their vocalizations as well as their eye and body movements.

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Non-experts can create AI to classify radiology images—but should they?

Physicians with no coding experience are able to create AI algorithms to classify medical images at levels comparable to state-of-the-art platforms, according to a new study published in The Lancet Digital Health. However, some experts questioned whether those without experience should really be creating such technology.

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AI, radiomics predict prostate cancer aggressiveness from MRIs

“Assessing (prostate cancer) PCa invasiveness as early as possible is essential for disease management, treatment choice, and patient prognosis,” wrote the authors of a new study published in Clinical Radiology.

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New MRI method shows molecular changes in the brain

A new MRI technique out of the Hebrew University of Jerusalem (HUJI) can show the molecular makeup of the brain, potentially helping clinicians diagnose neurodegenerative diseases such as Alzheimer’s.

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3 things to know about AI’s upcoming impact on radiology

AI is central to many large technology companies such as Facebook and Google, and may soon have a similar role in the medical imaging world, argued a group of radiologists in a new editorial published in Clinical Imaging.