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.

Real-world use of generative AI boosts radiologist productivity by up to 40%
“For me and my colleagues, it’s not an exaggeration to say that it doubled our efficiency," says radiologist Samir F. Abboud, MD, chief of emergency radiology at Northwestern.
Research review: Patients have understandably mixed feelings about AI in healthcare
A new review of the relevant scientific literature suggests many if not most patients are aware that healthcare AI’s emerging benefits exist side-by-side with its persistent uncertainties.
AI detects twice as many incidental lesions as radiologists
Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.
A closer look at GE HealthCare's new lower-cost cardiac CT scanner
As cardiac CT continues to get used more and more, GE HealthCare has launched a new scanner designed to meet the needs of both outpatient imaging centers and larger hospitals.
RadNet enters ultrasound AI, acquiring imaging vendor See-Mode Technologies
Founded in 2017, the Melbourne, Australia-based company offers software that analyzes breast and thyroid images, “producing fast and accurate radiology reports.”

Cardiology, radiology professionals unite to explore the challenges of diagnosing CAD in women

Coronary artery disease is both underdiagnosed and undertreated in women, and they often receive less guideline-recommended care than men. Why do these disparities persist? And what can today’s healthcare providers do to bring about change?

executive office ai artificial intelligence

AI has come a long way in healthcare, still has a long way to go: Research recap

As AI continues its march through healthcare organizations around the world, the notion that it will replace the sector’s human workers fades but does not disappear.

RadNet leaders discuss rationale behind blockbuster $103M iCAD AI acquisition

RadNet provides 1.9M mammograms per year in the U.S., and adding iCAD’s installed customer base would boost the number of impacted exams to 10M.

Medicare data stethoscope healthcare trends graphs finance financials

Diagnoses of this key clinical concern leapt 480% in 5 years, with CT a likely factor

The condition in question is sarcopenia, characterized by the progressive loss of muscle mass and strength typically seen in older adults.

AI is most beneficial as a prescreening tool, new research suggests

Researchers deployed AI in multiple interpretation scenarios to assess how it might impact radiologists’ performances.

Newswatch: AI researchers weigh in, AI humanizes healthcare, ‘the worst AI will ever be,’ more

Contrary to popular misgivings, AI may be improving the human touch in healthcare.

How generative AI for healthcare is similar to—and different from—its conventional older cousin

The National Academy of Medicine considers some pertinent ins and outs of GenAI.

RadNet to acquire breast imaging AI vendor iCAD for $103M

The acquisition will give Los Angeles-based RadNet an installed base of more than 1,500 healthcare provider locations, facilitating 8 million mammograms across 50 countries.

Artificial Intelligence

Real-world use of generative AI boosts radiologist productivity by up to 40%

Research review: Patients have understandably mixed feelings about AI in healthcare

AI detects twice as many incidental lesions as radiologists

A closer look at GE HealthCare's new lower-cost cardiac CT scanner

RadNet enters ultrasound AI, acquiring imaging vendor See-Mode Technologies