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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TB-detecting AI tool shows promise for improving screening in low resource areas

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports. 

How AI could be the key to beating the next COVID-19 variant

While the number of possible mutations of the SARS-CoV-2 spike protein would be overwhelming for humans to analyze, machine learning may be able to offer critical insights for next-generation vaccines and antibody treatments. 

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

VIDEO: 9 key areas where AI is being implemented in healthcare

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

Concerns about the future of AI are deterring students from pursuing radiology, survey shows

According to the new data, students believe that emerging technologies, including artificial intelligence, could eventually render some specialties obsolete.

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VIDEO: Where are we with AI adoption in radiology?

Bibb Allen, MD, FACR, chief medical officer of the American College of Radiology (ACR) Data Science Institute, discusses multiple factors involved in the adoption rate of artificial intelligence in radiology.
 

Viz.ai’s automated ventricle assessor cleared

The FDA has OK’d an algorithm that automatically ratios the diameter of the right ventricle vs. that of the left on CT pulmonary angiography studies for patients with pulmonary embolism (PE).

Two of the top stories this month included the death of MRI pioneer Raymond Vahan Damadian. Experts at MIT also developed ultrasound stickers that can be worn in the same manner as a Band-Aid while also producing diagnostic quality images in real-time. #MRI

Top Health Imaging stories in August 2022

Here are the most popular stories on Health Imaging in August, based on our website analytics. 

How AI can boost care for female heart attack patients

Researchers used data from more than 420,000 patients to develop a new AI-powered risk score that could help women receive much better care.