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.

Russia rolls out MosMed.AI to standardize healthcare AI nationwide
Initiatives include radiology image reading, data analytics, remote patient monitoring, speech recognition and more. Most of the federation has adopted the standards of the artificial intelligence platform.
FDA clears AI software for heart murmur detection with digital stethoscopes
eMurmer's new Heart AI software was designed to detect both the presence and absence of heart murmurs in digital stethoscope recordings. It can also gather critical hemodynamic data, helping care teams gain a better understanding of the patient's cardiovascular health.
Stanford Radiology’s AI Lab inks strategic partnership with Rad Partners
Under terms of the new team-up, the two organizations plan to pioneer methods for assessing and monitoring artificial intelligence tools in medical imaging.
Overconfident patients, underconfident nurses, pilot failures & more AI briefings
More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively.
Artificial intelligence helps assign CPT codes for interventional radiology procedures
Translating procedures into standardized billing codes can be an arduous task, but researchers believe large language models offer an opportunity to simplify this work.

Russia rolls out MosMed.AI to standardize healthcare AI nationwide

Initiatives include radiology image reading, data analytics, remote patient monitoring, speech recognition and more. Most of the federation has adopted the standards of the artificial intelligence platform.

FDA clears AI software for heart murmur detection with digital stethoscopes

eMurmer's new Heart AI software was designed to detect both the presence and absence of heart murmurs in digital stethoscope recordings. It can also gather critical hemodynamic data, helping care teams gain a better understanding of the patient's cardiovascular health.

Stanford Radiology’s AI Lab inks strategic partnership with Rad Partners

Under terms of the new team-up, the two organizations plan to pioneer methods for assessing and monitoring artificial intelligence tools in medical imaging.

Overconfident patients, underconfident nurses, pilot failures & more AI briefings

More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively.

money dollar funding fundraising artificial intelligence AI

Artificial intelligence helps assign CPT codes for interventional radiology procedures

Translating procedures into standardized billing codes can be an arduous task, but researchers believe large language models offer an opportunity to simplify this work.

AISAP, an Israeli healthcare technology company focused on using artificial intelligence (AI) to enhance medical imaging results, has gained U.S. Food and Drug Administration (FDA) clearance for its new point-of-care ultrasound (POCUS) software platform, AISAP Cardio.

AI model turns POCUS images into accurate structural heart evaluations

Researchers see potential for this technology to make cardiac screening much easier for physicians who are not trained cardiologists.

Why Condi Rice believes AI and other emerging technologies have our world in a ‘hinge-of-history’ moment | and more AI news, views & findings

Those who closely follow news and views on AI risk missing out on nine other technology categories that are changing our world just as fast. Or, as Stanford Prof. Condoleezza Rice puts it, “History will judge not only what we invented but also how and why we chose to do so.”

How to stay ahead of the changing CCTA reimbursement landscape

It is critical for organizations to have a firm understanding of the CMS 2026 Final Rule to bolster reimbursement, plan service lines and ensure continued access to CCTA, FFR-CT and AI-enabled plaque analysis.