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How AI & Machine Intelligence is Assisting Clinicians Posted on : Jul 27 - 2018

Artificial intelligence (AI), or machine intelligence, is being integrated into many facets of healthcare. One of these sectors is clinical imaging analysis. AI is also being embedded in algorithms inside medical devices.

Why imaging analysis? Most likely the wide usage — whether you’re a diagnostician, radiologist, or oncologist, much of your time is still spent looking at medical images, and writing up reports or patient files about them. And some 80 percent of AI activity in clinical imaging is on image analysis.

According to a new Ovum white paper, sponsored by NVIDIA, there is a huge opportunity to help physicians with AI-based systems that can cut down on the workload across protocoling, imaging analysis, and automated reporting of the results.

The new report, “Enhancing Diagnostic Quality and Productivity with AI,” explores how AI is assisting doctors in a wide variety of areas, including protocoling. According to the report, protocoling could be a potential target for AI systems, as well as report generation and quantification, which also take up a lot of these professionals’ time.

This white paper hones in on how AI can assist radiologists, in particular. One of the ways AI is being used is for lesion detection and searching for lesions in images — a time consuming activity that has created extensive backlogs at radiology offices in the past.

“There is a high potential for AI systems to assist radiologists going through these backlogs, assisting physicians to be more productive and help improve accuracy,” the report states.

Many of today’s advanced scanning instruments have GPUs installed, which makes embedding AI algorithms or neural network architectures like deep learning onto the systems easier. Companies like GE Healthcare, Siemens Healthcare and Esaote use NVIDIA GPUs for visualization, helping accelerate scanned images by processing the magnetic resonance signals, ultrasound, or x-ray data streams. 

This report delves into a variety of advances in clinical imaging being introduced through AI and machine intelligence. View More