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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Industry Watcher’s Digest

The NIH’s Office of Science Policy recently posted some essential new guidance for healthcare researchers. 

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7 points of positivity likely to win buy-in for healthcare AI

Kaiser Permanente AI exec Daniel Yang, MD: ‘With a focus on building trust, we use AI only when it advances our core mission of delivering high-quality, affordable healthcare services.’

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FDA approves new AI-powered imaging software from Nanox subsidiary

According to Nanox.AI, previously known as Zebra Medical Vision, the updated software helps "bridge the divide between radiology and cardiology."

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AI rules out abnormal findings on chest X-rays, significantly reducing workloads

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

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Industry Watcher’s Digest

When a hacker breaches a business, the usual break-and-entry point is a hole opened by a phishing scam. 

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Welcome to your teched-out world, baby

Smart machines have watched over the little bundle of joy practically since conception—and will be an omnipresent part of his or her life for decades to come. What can we tell this individual their life will be like?

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How GPT-4 can improve radiology resident report feedback

With resources stretched thin at many facilities, this type of feedback can often be limited.

Mayo AI algorithm uses 3D body scans to predict risk of metabolic syndrome.

AI tool predicts metabolic disease using 3D body scans

Compared to standard hip-to-waist ratio measurements and BMI, the algorithm identifies significantly more instances of metabolic syndrome and its severity in individual patients.