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.

Machine learning a key tool for limiting clinical, economic impact of C. diff on hospitals

The average treatment cost per case tops $4,000 in the U.S. and increases patients' average hospital stay by 3.6 days.

6 features of the ideal healthcare artificial intelligence algorithm

Explainability and autonomy are two traits that every AI platform should demonstrate during prospective trials, experts said in PLOS Digital Health.

The future of medical imaging? Connecting the dots from diagnosis to care

Bayer

What if artificial intelligence (AI) could support doctors in making decisions faster?

AI drops DBT workloads for radiologists by 40% while also reducing recalls

The model did miss four cancers, prompting one expert to question if radiologists could ever trust a tool knowing it wasn't 100% accurate.

Transparent AI platform shows radiologists its decision-making blueprint for diagnosing breast cancer

“This is what transparency in medical imaging AI could look like and what those in the medical field should be demanding for any radiology challenge,” said a Duke University professor involved in the project.

Stand-alone AI for lung cancer screenings could reduce radiologist workloads by 86%, study suggests

Artificial intelligence used as an independent reader produced fewer negative misclassifications compared to five experienced radiologists.

Watchdog launches probe of Microsoft’s nearly $20B Nuance acquisition

The UK's Competition and Markets Authority recently issued notice of the inquiry and said it plans to reach a decision by March 9.

Machine learning combined with PET/CT can predict heart attack risk

“We showed that risk prediction does not depend on cardiovascular risk scores, stenosis severity or CT calcium scoring," researchers said in the Journal of Nuclear Medicine.

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