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.

'Simply not replicable': Radiologists superior to AI despite prophecies that robots would replace them

"It is quite possible that what physicians and other health professionals know and can do is not replicable in digital terms," experts wrote in a new Academic Radiology editorial.

AI improves detection of severe CAD in stress echocardiograms

Advanced algorithms can lead to significant improvements in agreement among specialists, researchers found.

Deep learning rivals fellowship-trained radiologists at segmenting breast cancers on MRI

Researchers trained their platforms on more than 60,000 individual breast scans, significantly more than most architectures.

Staged cyberattack altering mammography images deceives both AI and radiologists

If artificial intelligence software makes a false prediction it can lead to harmful consequences for patients, providers and insurers, experts from the University of Pittsburgh cautioned.

Stand-alone AI can reduce radiologists’ screening mammography workloads by 90%

The technique may also prove cost-effective if radiologists are free to only focus on AI-recalled findings.

Machine learning uses MRI to predict lymphovascular invasion in breast cancer patients

These algorithms could fill in where postoperative biopsy sometimes falls short, experts explained in Academic Radiology.

FDA requests feedback on 3D printing of medical devices at the point of care

The agency is hoping to "foster discussion and solicit feedback from the public" on this important topic.

Advanced 3D imaging uncovers insights about prostate cancer aggressiveness

University of Washington in Seattle researchers plan to perform larger clinical studies that they believe will benefit many other patients.

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