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.

Less than half of radiology departments surveyed offer AI-related educational initiatives

About 37% of departments reported formal partnerships with the artificial intelligence industry, a number experts believe needs to increase in the near future.

Nanox touts new AMA CPT code as ‘validation’ of its cardiac imaging platform

The category 3 code will establish a new reimbursement pathway for radiologists to use the AI-driven coronary artery calcium solution, the Israeli company said.

How radiologists can avoid becoming ‘invisible’ in the artificial intelligence era

Specialists must redefine their clinical identity and steer the upcoming technological revolution, experts underscored recently.

IBM seeks healthcare exit with potential $1B-plus sale of Watson Health

Several private equity firms and one “strategic buyer” are in the running, and Big Blue hopes to select a suitor by the end of January, according to a published report.

Artificial intelligence startup reaches ‘unicorn’ status with $360M investment

Fractal offers AI solutions in several industries including radiology, with its Qure.ai business scoring a 2nd FDA clearance in August.

Lack of transparency in FDA-regulated AI and ML imaging software has doctors concerned

Only 9 of the 118 AI-related devices regulated by the FDA included validation datasets of over 1,000 patients.

Junior and senior radiologists benefit from AI assistance when identifying pulmonary nodules

Less experienced radiologists' accuracy for detecting nodules improved by 6.4% with AI help, according to a new study published in JAMA Network Open.

Antitrust regulators approve Microsoft’s nearly $20B purchase of Nuance Communications

With its technology currently used by about 75% of radiologists, Nuance hopes the deal will close by early 2022.

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