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.

AI newswatch: Nurses want in, transcriptionists on the way out, blockchain going up, more
If doctors are the heart of the hospital, nurses are surely the soul. And if that’s so, today’s AI has to be something like a nutritional supplement for the brains of the operation.
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.

An example of HeartFlow's new RoadMap Stenosis software that uses artificial intelligence (AI) to show areas of interest for possible stenting based on a patient's CT scan and FFR-CT. This software is still undergoing beta testing at several hospitals and will likely be rolled out commercially later in 2023.

Cardiology still a leader in healthcare AI, trailing only radiology in FDA-cleared algorithms

At its current rate, the number of clinical AI models cleared by the FDA will break 1,000 before the end of 2024. Cardiology continues to play a significant role in this ongoing trend.

FDA adds dozens of AI-enabled radiology applications to list of clearances

Around two-thirds of all approved artificial intelligence-powered clinical devices are catered to radiology settings.

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Industry Watcher’s Digest

Despite the great expectations it continues to build, clinical AI is still struggling to find a foothold in healthcare.

artificial intelligence AI in healthcare

5 measures of AI maturity in which healthcare has some growing up to do

There may be upsides to being less mature at this stage of society’s AI shift—relentless optimism could detract from mitigating potential risks.

Cardiologist Ami B. Bhatt, MD, a digital health specialist and longtime member of the American College of Cardiology (ACC), will serve as the Digital Health Advisory Committee's very first chair.

Cardiologist to chair new FDA advisory committee focused on AI, other digital health technologies

The Digital Health Advisory Committee is tasked with providing perspective and recommendations on a wide variety of topics. These insights will then help the FDA draft new policies and make other important decisions.

American College of Radiology (ACR) CEO Dana H. Smetherman, MD, MPH, MBA, FACR, explains why opportunistic screening is an important AI imaging technology trend radiology practices should be paying attention.

AI opportunistic screening may have tremendous potential to help patients, ACR CEO says

American College of Radiology leader Dana Smetherman, MD, MBA, discusses the new technology trend and why radiologists should be paying attention.

AI model matches radiologists at detecting prostate cancer on MRIs

“Reducing the cost and increasing the accessibility of MRI for [clinically significant prostate cancer] is critical for the viability of MRI screening programs," experts wrote.

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Radiology AI triage solution earns separate, additional Medicare hospital payment

The Centers for Medicare & Medicaid Services revealed the news under the 2025 Inpatient Prospective Payment System rule released on Aug. 1

Artificial Intelligence

AI newswatch: Nurses want in, transcriptionists on the way out, blockchain going up, more

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