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. 

Consumers more comfortable with AI in healthcare than banking, retail

Consumers are most comfortable with artificial intelligence (AI) when its used in the healthcare when compared to banking or retail, according to a survey conducted by SAS.

Radiology supercomputer ‘Clara’ could improve imaging in a big way

Radiology supercomputer “Project Clara” could improve imaging quality while speeding up the detection of fatal diseases like cancer and heart failure, Forbes has reported.

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FDA approves primary care AI imaging device to detect eye disease in diabetics

Primary care physicians may now be able to identify moderate to severe levels of retinopathy in adult patients with diabetes using a recently FDA-approved artificial intelligence (AI) imaging device.

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New imaging technique detects prostate cancer not shown by MRI

Contrast-enhanced subharmonic imaging (SHI)—a new technique for imaging of microbubble ultrasound contrast agents—detected prostate cancers not identified by traditional MRI, according to a recent study presented at the American Roentgen Ray Society (ARRS) 2018 Annual Meeting.

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Fluorescent dye found for producing optimal biological images

Researchers at MIT and Massachusetts General Hospital found indocyanine green, an FDA-approved and commercially available fluorescent dye, ideal in short-wave infrared (SWIR) imaging—a discovery that may allow clinicians to create clearer biological images, MIT News reports.

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3D imaging, temperature map allow physicians to see ablation of brain tumors

Researchers from the University of Southern California (USC) Viterbi School of Engineering are making radiofrequency ablation safer and faster with real-time thermal imaging and an associated probe device, according to a recent USC news release.

ZEISS introduces machine learning capability for microscopy

First ZEISS ZEN Intellesis solution enables segmentation of correlative microscopy datasets.

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MRI study finds prenatal exposure to certain antidepressants may alter brain development

Researchers from New York and California recently used MRI to determine prenatal exposure to commonly used antidepressants in pregnant women may be associated with impacted fetal brain development—particularly in areas crucial to emotions.