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.

Is AI just what the doctor ordered for the radiologist shortage? Yes and no
AI shines in radiology when tasked with interpreting images of patients whose odds of illness are either very high or very low. In these cases, the technology could help mitigate burnout and supplement staffing.
AI predicts pediatric cancer recurrence with impressive accuracy
Researchers have developed a deep learning model that can spot longitudinal changes in patients' brain imaging that could be indicative of cancer recurrence.
AI helps cardiologists terminate AFib for good with ablation
Advanced AI can provide real-time feedback to cardiologists, helping them deliver high-quality care.
Big-name healthcare orgs tap AI to improve breast imaging workflows
These moves come as healthcare organizations are increasingly seeking ways to integrate artificial intelligence into daily clinical duties.
Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges
"As the nation’s largest payer of healthcare, Medicare’s policies on coverage and payment for AI technologies are especially critical," AdvaMed says.

With a single MRI scan, artificial intelligence classifies intracranial brain tumors

Mallinckrodt Institute of Radiology researchers recently unveiled their deep learning tool in Radiology: Artificial Intelligence.

Imaging disrupter Nanox acquiring AI firm, teleradiology outfit for total of $230M

The publicly traded startup is paying $200M to land artificial intelligence expert Zebra Medical and $30 million more for USARad, the three said.

AI, 30 second MRI scan predict pregnancy complications

The automated pipeline has the potential to become a "cornerstone" in diagnosing and treating placental health, researchers said.

AI model evaluates ECG data as well as cardiologists

The team's convolutional neural network was trained on data that is readily available at most facilities.

Abbott’s AI-powered coronary imaging platform receives FDA approval

This latest announcement comes just a few months after the platform gained CE mark approval.

Stanford AI center's new platform grants worldwide access to free medical imaging datasets

Stanford's Center for Artificial Intelligence in Medicine and Imaging is partnering with Microsoft on the project and plans to have more than 2 million images readily available within the next year.

Medtronic gains FDA approval for AI models focused on cardiac monitoring

The advanced algorithms address two areas known for causing false ICM alerts: atrial fibrillation and asystole.

American College of Radiology links with ophthalmologists to expand AI efforts into eyecare

ACR is collaborating with the American Academy of Ophthalmology on the initiative, adding new data and use cases to its AI-LAB platform.

Artificial Intelligence

Is AI just what the doctor ordered for the radiologist shortage? Yes and no

AI predicts pediatric cancer recurrence with impressive accuracy

AI helps cardiologists terminate AFib for good with ablation

Big-name healthcare orgs tap AI to improve breast imaging workflows

Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges