Subtle Medical Showcases Al for PET and MRI Scans at RSNA 2018

Subtle Medical (Menlo Park, CA, USA) showcased SubtlePET, its artificial intelligence (AI)-powered technology, at the 2018 Radiological Society of North America annual meeting (RSNA 2018), November 25-30, in Chicago, Ill. SubtlePET is the company’s first AI software product that allows hospitals and imaging centers to efficiently reduce noise and enhance positron emission tomography (PET) image quality.

Subtle Medical is a medical imaging software company that focuses on improving the quality, value, and accessibility of medical imaging by reducing cost, imaging time, and radiation dose, using deep learning algorithms. The company uses state-of-art AI algorithms to renovate radiology workflow and deliver faster, safer and smarter solutions for imaging exams. Subtle Medical uses NVIDIA GPUs and CUDA to train its deep learning model. GPU computing has allowed the company’s research team to accelerate their image enhancement pipeline from ~10 minutes per patient to ~10 seconds per patient.

SubtlePET was developed using the latest AI technology with the goal of extending it to multiple imaging modalities, for accelerating scan time and improving imaging productivity. The company’s collaborating hospitals and imaging centers have demonstrated that the AI software can help them to achieve a faster patient scanning experience while enhancing exam throughput. SubtlePET has been shown to reduce noises on 75% shorter scans and enable the use of 4x faster scans.

Subtle Medical’s second product is SubtleMRI, which allows imaging centers to significantly accelerate magnetic resonance imaging (MRI) scans. In addition to reducing the length of time people spend inside MRI scanner, the technology can improve medical scans’ safety by cutting the amount of contrast dose needed by up to ten-fold.

“We want to bring this technology into clinical applications so that all the patients and hospitals can benefit from this,” said Dr. Enhao Gong, one of Subtle Medical’s founders. “We want to empower hospitals and imaging centers with AI infrastructure to make medical imaging faster, cheaper, and smarter.”

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