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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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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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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Healthcare AI and HIPAA compliance: 5 key legal questions + answers

Training AI for use in healthcare requires feeding algorithms patient data, and lots of it. This opens data custodians—typically hospitals—to various points of potential legal exposure.

Vuno Med-DeepBrain

AI brain imaging device receives FDA clearance

Vuno's Med-DeepBrain allows MRI images of the brain to be segmented in 100 pieces to identify signs of dementia.

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AI model detects multiple heart issues in a single 10-second audio clip

The advanced algorithm achieved a sensitivity of 93% and specificity of 98%. It was trained to identify up to five different valvular diseases at the same time from a single audio clip.

An RSNA attendee undergoes an MRI brain scan on the expo floor using the Hyperfine Swoop head MRI system. It is self-shields with a low field 0.064 T. It uses a standard wall power outlet and can be wheeled through a standard 34-inch wide door frame. It weighs 1,400 pounds. Imaging sequences include T1, T2, FLAIR, and DWI (with ADC map) and its operational controls are all directed on an iPad interface. #RSNA #RSNA22

FDA clears new artificial intelligence capabilities for portable MRI scanner

This is the eighth clearance in the past three years for Hyperfine's Swoop system, company officials said Monday. 

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