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.

Aidoc unveils first-of-its kind operating system for using AI across vendors, subspecialties

The new system currently includes FDA-cleared algorithms from five companies along with seven developed by Aidoc.

RSNA announces winners of its brain tumor AI challenge

More than 2,700 participants were tasked with developing AI models capable of completing two different tasks.

Fast Company lauds fast healthtech companies

The business magazine Fast Company is out with its picks for the “next big things in tech.” Of 65 companies making the overall list for 2021, the project’s inaugural year, 10 of the best are in healthcare.

Novel camera images objects around corners, behind barriers

Potential medical applications include brains inside heads and hearts within chests.

Prescription VR pain relief earns FDA nod

The FDA has OK’d a prescription-only virtual reality system that patients with chronic back pain can use at home to relieve their suffering.

New AI software a low-cost, efficient option for coronary artery calcium scoring

The tool can be universally applied across multiple CT scanners and vendors, experts reported in the European Journal of Radiology.

Cardiologs puts its AI model up against the Apple Watch—and wins

The company reported that its deep neural network led to improved sensitivity and fewer unclassified findings.

CT-based AI could be game changer for radiologists assessing invasive, noninvasive cancers

Specifically, the deep learning platform distinguished minimally invasive adenocarcinomas from more deadly varieties.

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