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.

Healthcare AI newswatch: Bill Gates detractors, structured medical timelines, helpful China tariffs, more
Bill Gates wasn’t just wrong to suggest AI will make physicians unnecessary. He was reckless.
Industry watchers call healthcare AI a ‘double-edged sword’ that ‘cannot function in isolation’
Healthcare may finally have struck a healthy balance between AI hype and AI reality, according to a report from impartial observers who are also, indirectly at least, healthcare AI stakeholders.
Exploring the evolution of AI in cardiology
Partho Sengupta, MD, shared his perspective on the current state of artificial intelligence in cardiology. The technology continues to evolve, he said, though it does still face certain limitations.
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.

Total knee AI/AR cleared for sales in the US

The FDA has granted 510(k) clearance to a French startup for surgery software that combines AI with augmented reality and computer vision.

Researchers develop a ‘significant breakthrough’ in magnetic resonance imaging

The new rapid hyperpolarization technique could more accurately image kidney injuries, the effects of a heart attack, and much more.

ACR strengthens focus on AI development through new collaboration with the National Cancer Institute

The move will give creators a one-stop shop for robust radiology data, including DICOM images to train and test their models.

Most radiologists using AI favor ‘home-grown’ algorithms over commercially available tools

The insight is part of the American College of Radiology Data Science Institute's first annual survey, shared in JACR.

Mount Sinai to offer AI and emerging tech PhD program

In a sign that AI is becoming all the more critical to healthcare, the Icahn School of Medicine at Mount Sinai has a new PhD concentration in AI and emerging technology.

AI tackles ‘very, very complex’ problem—triaging MRI abnormalities

The tool performed well on data from an outside healthcare organization, suggesting it may be generalizable to broader populations.

Only 30% of radiologists currently using artificial intelligence as part of their practice

The finding is part of the the American College of Radiology’s Data Science Institute's inaugural annual survey, published in JACR.

Canon Medical grabs FDA clearance for deep learning aid to improve cardiac CT

With the recent greenlight, the Tustin, California, company can now offer its Deep Learning Spectral CT tool for cardiovascular applications.

Artificial Intelligence

Healthcare AI newswatch: Bill Gates detractors, structured medical timelines, helpful China tariffs, more

Industry watchers call healthcare AI a ‘double-edged sword’ that ‘cannot function in isolation’

Exploring the evolution of AI in cardiology

Is AI just what the doctor ordered for the radiologist shortage? Yes and no

AI predicts pediatric cancer recurrence with impressive accuracy