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.

$Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow$
AI-based CAD assessments dramatically improve vascular surgery outcomes
PAD patients evaluated with HeartFlow's noninvasive FFR_CTAnalysis technology prior to surgery experienced much better outcomes, including a 63% lower risk of all-cause mortality after five years.
FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals
The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.
Radiographers are apprehensive about integrating AI into their workflow
Some believe it could make their jobs easier, while others perceive AI as a threat to their employment, new survey data suggest.
New low-field MRI small enough to plug into a standard wall outlet saves money without sacrificing safety
And with the help of deep learning techniques, it provides diagnostic quality imaging.
GPT-4 now has vision—can it actually read chest X-rays?
Finely tuned, pre-trained large language models are beginning to reliably translate image content into text, but are they ready to take on medical images?

High-resolution PET/CT appraises brain stem function central to hearing loss

The fully digital modality can also offer insights into various neurodegenerative diseases, German researchers wrote.

March 27, 2020

Tech companies are deploying AI to spot COVID-19, unburden overworked healthcare staff

An increasing number of artificial intelligence firms are tweaking existing platforms or creating new models to help clinicians handle the growing pandemic.

March 27, 2020

New ‘groundbreaking’ imaging device spots early cancers, beats MRI and CT resolution

"It is our hope that in [the] future doctors might be able to use a device like ours to precisely identify diseases as they develop at the cellular level, in real-time, and in high resolution," researchers wrote.

March 25, 2020

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

New framework promotes ethical, secure data sharing for developing AI

Stanford University School of Medicine clinicians detailed their suggestions to spur the development of artificial intelligence Tuesday in Radiology.

March 24, 2020

Machine learning scans MRIs to diagnose specific forms of muscular dystrophy

Researchers from Spain used nearly 1,000 pelvic and lower limb MRIs, displaying various forms of the disease, to create their model.

March 23, 2020

AI extracts imaging data to predict lung cancer treatment response

“With AI, cancer imaging can move from an inherently subjective tool to a quantitative and objective asset for precision medicine approaches," Columbia University Irving Medical Center radiologists wrote Friday.

March 20, 2020

ACR outlines 10 priorities to steer federal oversight of artificial intelligence

The college shared high-level principles in its comments submitted to the White House Office of Management and Budget, emphasizing validation, transparency and safety.

March 20, 2020

AI draws on pathologists’ wisdom to improve cancer diagnoses

"We showed it is possible using this approach to get incredibly encouraging results if you have access to a large archive," said experts from the University of Waterloo in Ontario, Canada.

March 17, 2020

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Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

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.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

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

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

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

Artificial Intelligence

AI-based CAD assessments dramatically improve vascular surgery outcomes

FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals

Radiographers are apprehensive about integrating AI into their workflow

New low-field MRI small enough to plug into a standard wall outlet saves money without sacrificing safety

GPT-4 now has vision—can it actually read chest X-rays?

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