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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FDA clears AI for breaking down lung CT images into subsegments

LungQ guides pulmonologists as they work to access peripheral locations within the lungs.

Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

Craig Sable Children's National Hospital AI echo

AI spots signs of rheumatic heart disease in echocardiograms as well as cardiologists

Researchers think this represents a potential breakthrough for low- and middle-income countries where access to high-quality imaging evaluations is still limited. 

healthcare workers and artificial intelligence

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

healthcare AI and aviation

3 strategies healthcare can copy from aviation to refine medical AI

Pointing out that aviation is a field that “went from highly dangerous to largely safe,” some accomplished techies name three to-do’s that could help healthcare AI ascend and soar.

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Digital biomarker tool for rapidly identifying lung fibrosis cleared by FDA

The AI-guided technology can diagnose the disease via medical images without the need for an invasive procedure.

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CES speakers talk about AI in health, need for trust

Keynote speakers noted the need to move at the speed of trust in order to reach potential for healthcare.

chatgpt for patient questions about radiology

ChatGPT IDs incidental findings on CT images

New research suggests ChatGPT may be able to improve radiology workflows by performing an initial review of CT images.