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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RSNA names Penn's Charles Kahn editor of new AI journal

Charles Kahn, MD, MS, has been named editor of Radiology: Artificial Intelligence, a new online journal set to launch in early 2019, according to an announcement from the Radiological Society of North America (RSNA)'s Board of Directors.

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ACR to collaborate with MICCAI on AI for radiologists

The American College of Radiology and the Medical Image Computing and Computer Assistance Intervention (MICCAI) Society announced last week a partnership to develop artificial intelligence (AI) algorithms to better meet radiologists' clinical needs.

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FDA clears new 3D brain imaging technology, provides CTA support of stroke

The FDA has recently approved iSchemaView’s RAPID CTA, a new 3D imaging technology for computed tomography (CT) angiography, according to a May 1 press release.

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Machine learning expert sees machine coexist with man in Case Western lab

In a diagnostic imaging lab at Case Western Reserve University in Cleveland, Anant Madabhushi, professor of biomedical engineering, has seen his deep learning computers beat humans at diagnosing heart failure, detecting cancers and determining their strength—but he knows these tools can’t replace his team.

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AI algorithm IDs head abnormalities in CT scans with 95% accuracy

A new artificial intelligence (AI) technology from healthcare startup Qure.ai can accurately identify serious abnormalities in head CT scans with more than 95 percent accuracy, according to a press release.

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Machine learning platform cuts intracranial hemorrhage diagnosis time by 96%

A team at Geisinger Health System in Pennsylvania created a machine learning platform able to read CT scans that reduced the time to detect internal bleeding by 96 percent.

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Neural connections formed while learning can change the brain's structure

A group of researchers at Thomas Jefferson University utilized super-resolution live-cell microscopy to visualize connections between neurons strengthening in real-time that produced structural changes in the brain.

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Why AI will make human knowledge more valuable

A recent editorial in STAT argued that as artificial intelligence (AI) continues to proliferate, the need for human providers will not decrease—rather, their knowledge will become more valuable in decision-making.

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