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 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.

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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A majority of U.S. surgeons, including those who treat heart patients on a daily basis, say their operating rooms use outdated technology.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. 

artificial intelligence in cardiology

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. 

artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence in healthcare

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 and Qure.ai

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.