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. 

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AI detects signs of AFib in asymptomatic patients

The study included ECG data from more than 900,000 U.S. veterans.

artificial intelligence

FDA highlights radiology's continued dominance in AI-enabled device submissions

Through the end of July, 79% of all AI products authorized by the agency in 2023 are in radiology, followed by 9% in cardiovascular care, and 5% in neurology. 

chatgpt for patient questions about radiology

ChatGPT will take your patient’s questions now—just not solo

What does “clinical correlation” mean in a radiology report? Ask ChatGPT.

generative artificial intelligence AI

4 ways to usher in ‘smooth scaling’ of generative AI

What does it take to scale the technology from a toe in the water to a full-on swim? 

Allia IGS Pulse, GE Healthcare's updated image-guided system for cardiac imaging, gained FDA clearance

FDA clears GE Healthcare’s new image-guided system for heart patients of all sizes

GE Healthcare's newest cardiac angiography offering will be on display at TCT 2023 in San Francisco. 

artificial intelligence money finance acquisition

Number of FDA-cleared AI imaging tools expected to skyrocket by 2035, backed by $30B in funding

During the past seven years, the availability of such products has continued to grow, with medical imaging accounting for 85% of digital health’s venture capital funding.

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Number of AI products in healthcare set for fivefold expansion by 2035

A study projects AI funding will continue to increase, resulting in a massive number of new products during the next decade. 

David Higginson explains how Phoenix Childrens Hospital uses AI to rapidly develop new pediatric AI algorithms sometimes in just one day. He spoke at HIMSS 2023 on this subject. #AI #HealthAI #HIMSS

Leveraging machine learning to rapidly create clinical AI algorithms

Phoenix Children's Hospital uses AI to rapidly develop new algorithms to help solve clinical and automation issues specifc to the hospital in as little a few hours.

 

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