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.