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GE Healthcare Technologies Inc. Receives FDA approval for Precision DL

Chicago: On Tuesday, 30th May 2023, GE Healthcare Technologies Inc.  received 510(k) clearance from the US Food and Drug Administration (FDA) for its new image processing software namely Precision DL. Precision DL has the integration of artificial intelligence (AI) and deep learning (DL) powered software, that enhances the image quality that enables to point minor lesions and diagnose, plan treatment and monitor the disease with very low dose injections and short bedtimes which results in better patient outcomes. This is leveraged by advanced deep neural network which undergoes training using thousands of images produced through multiple reconstruction methods. Precision DL software is part of the company’s Omni Legend positron emission tomography/computed tomography system, which was launched in October 2022. Additionally, Omni Legend provides a streamlined, uncomplicated solution that enables technicians to boost productivity, improve patient care, and minimize radiation exposure risks for medical professionals. The company have Recon DL portfolio with a diverse range such as AIR Recon DL for MRI, Helix DL for X-ray, and TrueFidelity for CT, the new software offers image quality performance benefits that are generally linked with hardware-based Time-of-Flight (ToF) reconstruction. Addtiionally, precision DL provides benefits by improving the quantitative accuracy by 14%, improvement in contrast-to-noise ratio by 23%, improvement in small or low contrast lesion detectability by 42% and improvement in contrast recovery by 11%.

The development of this software tool depicts the transitions from Time-of-Flight technology to the next generation of positron emission tomography/computed tomography (PET/CT) performance and helps clinicians in decoding coincidence events at exceptionally fine resolutions for informed diagnosis and treatment planning with the ultra-high sensitivity. GE HealthCare Technologies Inc’s deep-learning-enabled software is revolutionizing image acquisition and reconstruction in MR, CT, X-ray and now PET/CT, empowering clinicians and helping improve patient outcomes efficiently.

According to the Founder & CEO of GE Healthcare Technologies Inc., “ One of the main advantages of moving fully into the future of AI and deep learning is making state-of-the-art imaging accessible to more practices, across more care areas than ever before, and clinicians are seeing the value of applying deep learning technology to enhance image quality with our multi-modality family of Effortless Recon DL applications, which already includes AIR Recon DL for MR, True Fidelity for CT and Helix DL for X-ray & now we are proud to add Precision DL for PET/CT, enabling more precise and personalized care across healthcare systems’ imaging departments.”

According to TechSci Research, the FDA approval for the Precision DL will provide the company a competitive edge in the use of artificial intelligence in healthcare market. GE Healthcare has consistently embraced technological advancements such as implementation of picture archiving and communication systems (PACS), development of electronic medical records (EMRs) for the storage, retrieval, and distribution of medical images such as X-rays, MRIs, and CT scans in a digital format, and to store, manage, and access patient health information on digital platform respectively. The development of Precision DL is a subset of artificial intelligence and machine learning with advanced technology, acting as a crucial deep learning software tool for medical imaging to diagnose the disease, suggests a course of treatment, and determines the success ratio of therapy for millions of patients around the world. Artificial intelligence (AI) has made significant advancements in the field of medical imaging, revolutionizing the way healthcare professionals to proceed for further treatment in various conditions. Medical imaging datasets are vast and time-consuming to analyze manually. The software tools incorporating algorithms can rapidly process large volumes of medical images, enabling quick and efficient analysis. This expedites the diagnosis process, reducing waiting times for patients and facilitating prompt treatment initiation. Therefore, the combination of artificial intelligence’s analytical capabilities with human clinical judgment can lead to the most effective and reliable medical imaging interpretations, reducing the risk of disease progression and enhanced quality of life.

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