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-directed scan protocols cut back on unnecessary MRI sequences
Artificial intelligence could serve as an effective tool for determining which patients may need additional breast MRI sequences mid-protocol.
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.

artificial intelligence robot evaluates healthcare data

AI-powered platform for arrhythmia detection gains FDA approval

The newly approved DeepRhythm Platform from Medicalgorithmics uses advanced AI to evaluate imaging results and look for signs of cardiac arrhythmias.

Medical staff must have a say in what AI is adopted for patient care, says AMA

The American Medical Association adopted a policy calling for medical staff to be involved in decisions about adopting AI that may impact patient care.

Heart surgeons are fed up with old technology—many have considered a career change

A majority of U.S. surgeons, including those who treat heart patients on a daily basis, say their operating rooms use outdated technology. It is having a negative impact on patient care.

AI can help cardiologists predict death after TAVR—but there is a catch

It's clear that advanced AI algorithms will radically transform care for TAVR patients in the years ahead. For now, however, certain AI models may require too much data to be helpful on a consistent basis.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

FDA official: Let’s work together to make healthcare AI work for everyone

AI won’t fulfill its promise to transform American medicine if it isn’t appropriately integrated, step by step, across U.S. healthcare.

Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

Strategic Radiology signs on with Qure.ai

A coalition of independent imaging practices is partnering with a radiology AI startup specialized in automated interpretation algorithms.

Artificial Intelligence

AI-directed scan protocols cut back on unnecessary MRI sequences

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