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. 

Thumbnail

Artificial throat may give voice to the voiceless

Combining ultrasensitive motion detectors with thermal sound-emitting technology, scientists in China have come up with an “artificial throat” that could enable speech in people with damaged or nonfunctioning vocal cords.  

Thumbnail

MRI reveals neurological insight into 2016 ‘auditory attack’ in Cuba

New research published July 23 in JAMA reported neurological differences in several areas of the brain, including white matter volume, among U.S. government personnel involved in a 2016 auditory attack in Cuba compared to healthy controls.

Thumbnail

AI identifies cancerous regions on OCT breast tissue images

A deep learning classification approach can identify cancerous regions from benign areas in optical coherence tomography (OCT) images of breast tissue, according to results of a July 17 study published in Academic Radiology.

Thumbnail

Medtronic to distribute Viz.ai’s LVO stroke solution through new partnership

Medtronic and Viz.ai have announced a new partnership aimed at speeding up the implementation of Viz.ai’s AI solution for detecting suspected large vessel occlusion (LVO) strokes.

Thumbnail

Medtronic, Viz.ai partner on AI-powered stroke detection

Medtronic and Viz.ai, a growing leader in artificial intelligence, are collaborating on a new software to automatically alert specialists when a stroke is identified during a CT scan.

Thumbnail

Deep learning distinguishes Alzheimer’s from normal cognition

A deep learning model that simulates a clinician’s diagnostic process can accurately diagnose Alzheimer’s disease from cognitively normal patients, according to a study published July 16 in Neurocomputing.

Thumbnail

AI predicts long-term mortality from single chest x-ray

“The CXR-risk score took as input the radiograph only. This was intended to prove a point—that a CNN can extract prognostic information embedded in the image, without any other demographic or clinical information,” wrote authors of a new study published in JAMA Network Open.

Thumbnail

PET scans indicate women may have higher Alzheimer’s risk than men

“The differences that we observed indicate the strong possibility that there are sex differences in the structural and functional connections in the brain, which may contribute to women’s increased risk for Alzheimer’s,” said Sepideh Shokouhi, at the Alzheimer’s Association International Conference in Los Angeles.