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 model identifies radiologist-recommended follow-up imaging in reports, has potential for widespread use

New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.

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Industry first: FDA clears device for detecting stroke on noncontrast CT

RapidAI said it aims to give smaller facilities access to tools often only available at comprehensive stroke centers. 

Phillips partners with Amazon to host EI offering, advance AI tools

According to Philips, the partnership with Amazon Web Services broadens its capabilities in enterprise informatics and many other key areas.

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HeartFlow announces US launch of AI-powered solution for evaluating coronary arteries

The AI-powered tool gained FDA clearance back in October 2022. 

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ChatGPT a ‘substantial first step’ toward AI-drafted radiologist reports

Using an RSNA template, the artificially intelligent chatbot was able to get high marks on report quality for distal radius fractures.


 

OpenAI ChatGPT

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

AI helps ID patients who would benefit most from strict blood pressure control

The study's findings suggest that AI can help clinicians provide more personalized care than ever before. 

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Common features of missed lung cancer on chest X-ray

It is crucial for radiologists to beware of these missed cases in routine practice, experts wrote recently in Clinical Imaging