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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Is AI keeping medical students from pursuing a career in radiology?

Though artificial intelligence continues to make great strides within radiology, some radiologists are still unprepared to educate medical students regarding its usage, according to a new commentary published in Academic Radiology.

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Alphabet CFO discusses AI’s impact on breast cancer care at World Economic Forum

At the World Economic Forum in Davos, Switzerland, Alphabet CFO Ruth Porat detailed the significant impact artificial intelligence (AI) technologies are having on breast cancer care

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Healthcare 1 of 13 industries to be radically changed by AI

Healthcare, including imaging, is one of 13 industries that will soon be “revolutionized" by artificial intelligence (AI) and machine learning (ML) technologies, according to a new report published in Forbes.

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AI helps radiologists assess axillary lymph nodes

Artificial intelligence (AI) can be trained to predict a patient’s likelihood of axillary lymph node metastasis using a breast MRI dataset, according to a study published in the Journal of Digital Imaging.

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Researchers receive $196K grant to address issues related to AI, transparency in healthcare

Researchers at Duke University have been awarded a $196,000 grant to address a growing issue related to the use of artificial intelligence (AI) in healthcare: the gray area between explaining decisions to patients and protecting trade secrets associated with clinical decision support (CDS) software. 

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NHS hopes AI can help make up for ongoing radiologist shortage

Various companies are working with the National Health Service (NHS) in England to see if their artificial intelligence (AI) technology can identify signs of breast cancer as well as radiologists, according to a report from the Financial Times. 

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Appreciation of machine learning on the rise among imaging professionals

How significant is the hype surrounding artificial intelligence and machine learning in radiology? According to new market research from Reaction Data, 77 percent of imaging professionals said they think machine learning is important when asked about it in 2018, up from 65 percent in 2017.

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AI predicts severity of 3 common symptoms in cancer patients

Researchers have successfully used two different machine learning algorithms to predict three common symptoms—sleep disturbance, anxiety and depression—experienced by cancer patients undergoing chemotherapy. The team's findings were published in PLOS One.

Around the web

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.