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. 

artificial intelligence AI in healthcare

4 points crucial to the nimble regulation of GenAI

With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.

‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

HeartLung Technologies, a Houston-based artificial intelligence (AI) company, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for new software that assesses chest CT scans for signs of coronary artery disease (CAD) and other potentially fatal heart conditions. The newly cleared offering, AutoChamber, was designed with opportunistic heart evaluations in mind.

FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Many if not most of today’s software developers use AI coding tools every day. Yet nearly 40% have little to no trust in AI-generated code. 

AI artificial intelligence for beginners

5 tips to learn AI from scratch and for free

There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you. 

Wearable ultrasound device tracks muscle activity with great accuracy.

Wearable ultrasound device monitors muscle activity with great precision

The system provides long-term, wireless monitoring of muscle activity and function. Experts are hopeful that it could have utility in multiple healthcare settings. 

Using advanced artificial intelligence (AI) platforms to assess imaging results and quantify coronary plaque buildup can help clinicians predict adverse events in patients with suspected coronary artery disease (CAD), according to late-breaking data presented at TCT 2024 in Washington, D.C.

AI-enabled plaque assessments help cardiologists ID high-risk CAD patients

AI-enabled coronary plaque assessments deliver significant value, according to late-breaking data presented at TCT. These AI platforms have gained considerable momentum in recent months, receiving expanded Medicare coverage in addition to a new Category I CPT code.

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Real-world use of AI algorithm for collapsed lung cuts radiologist reporting times by 46%

Prompt diagnosis of such pneumothorax is crucial, with delays linked to longer hospital lengths of stay and greater disease progression, experts write in Academic Radiology