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. 

RadNet inks new hospital joint venture partnership, with plans to add 10-plus imaging centers

RadNet and Cedars-Sinai are launching a new brand called the Los Angeles Imaging Group, and three new centers are already slated to open in California's largest city. 

Ultromics EchoGo AI platform

CMS increases reimbursement for AI-powered heart failure platform

Ultromics thinks the significant payment increase will help ramp up utilization among U.S. healthcare providers.

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

ChatGPT neurology interview with neurologist

Experienced neurologist interviews generative AI, comes away impressed but not intimidated

ChatGPT can be a little sneaky. Recently asked if it’s ever messed up when helping physicians make clinical decisions, it only came clean with examples of stumbles after being pressed on the matter.

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Philips receives total of $60M from Gates Foundation for AI-powered ultrasound

The new round of funding comes after successful deployment of handheld ultrasound systems in Kenya.

ChatGPT tackles hypertension: Popular AI model a helpful resource for patients with high blood pressure

The study's authors communicated with ChatGPT-4 in both English and Japanese, noting that it appeared to struggle more with the complexities of the Japanese language. 

artificial intelligence robot evaluates healthcare data

AI model for predicting sudden cardiac death more accurate than expected

The new-look algorithm, trained and validated with data from more than 25,000 patients, scans a patient's electronic health record and identifies signs of trouble. 

Toku's AI-powered CLAiR technology

FDA grants breakthrough device designation to AI-powered, retinal imaging-based CVD assessments

CLAiR offers physicians another way to evaluate a patient’s cardiovascular health: non-invasive retinal images captured during routine eye exams.