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. 

Covid Coronavirus

Neurological symptoms present in patients with COVID-19

Altered mental state and stroke were the most common findings, which may help physicians better understand how the disease impacts the central nervous system.

June 1, 2020

Brain imaging pinpoints weaker ‘neural suppression’ in patients with autism

The findings published Friday may help researchers develop new screening mechanisms to identify children who are at risk for the disorder and similar conditions.

May 29, 2020
Mergers on the rise

University acquires 7T MRI thanks to $600K NIH grant

It's all part of Georgia State University's imaging innovation hub designed to unite digital imaging research from across the institution.

May 28, 2020

Exercise improves blood flow in key brain areas linked to memory, imaging reveals

In older adults at higher risk for Alzheimer's disease, one year of aerobic exercise enhanced flow in the anterior cingulate cortex and the hippocampus, according to a new study.

May 20, 2020
Covid

Advanced imaging IDs antibody for potential COVID-19 treatment

“We are very excited to have found this potent neutralizing antibody that we hope will participate in ending the COVID-19 pandemic,” said project co-lead David Veesler, PhD, with the University of Washington in Seattle.

May 20, 2020

University receives $5.9M grant for neuroimaging, clinical research into mood disorders

“By examining cognitive dysfunction patterns within an individual, we can develop better risk assessment tools that will allow quick therapeutic interventions before relapses occur,” said co-investigator of the project Olusola Ajilore, MD, PhD, with the University of Illinois at Chicago.

May 19, 2020
COVID

Health system launches ‘second opinion’ AI for diagnosing COVID-19 in chest scans

The algorithm's sensitivity edged out that of trained radiologists at identifying signs of the disease on chest CT scans, Mount Sinai researchers explained recently.

May 19, 2020
an MRI brain scan and a stethoscope

Deep learning automatically measures key features of TBI

If validated further, the algorithm could be used to flag urgent scans in radiology workflows, especially in resource-strapped regions.

May 15, 2020

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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