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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Advanced imaging, genomic analysis may change the way we treat cancer patients

"This study is a bridge between genetic sequencing, single-cell analysis and high-resolution medical imaging," researchers said of their study published in PLOS One.

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Sony’s smart operating room platform gains FDA clearance

Sony Electronics has received FDA clearance for its NUCLeUS Operating Room, Imaging Management and Collaboration Control platform. 

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AI crunches images in less than a second to devise cancer treatment plan

A new deep learning tool, developed by UT Southwestern, could potentially eliminate harmful delays in the delivery of radiation therapy. 

Do cancer patients benefit from VR-based group therapy?

Researchers from Yale School of Medicine are collaborating with Foretell Reality to study how virtual reality-based group therapy sessions impact cancer patients. 

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FDA clears AI algorithms for Eko’s digital stethoscope

Eko has received FDA clearance for AI algorithms that identify signs of heart murmurs and atrial fibrillation (AFib) during a routine physical exam.

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FDA greelights AI algorithms that detect heart murmurs, AFib via stethoscope

The FDA has cleared a series of AI algorithms designed by California tech company Eko to facilitate the detection of atrial fibrillation and heart murmurs.

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What MRI and 100 years of horror movies can teach us about our brains

Finnish researchers had volunteers watch two of the century's scariest horror films inside an MRI machine while recording their brain activity, sharing their findings this month in NeuroImage.

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AppliedVR, UCSF work to improve healthcare for vulnerable patient populations

AppliedVR, a Los Angeles-based virtual reality (VR) company, has announced a new research project focused on improving care for Medicaid patients and other vulnerable populations. 

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