CHICAGO — GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the Radiological Society of North America (RSNA) 2024 Annual Meeting, in Chicago, IL. Understanding the need to improve operational efficiencies within radiology departments and the ongoing challenge of burnout experienced by clinicians, GE HealthCare developed the technologies to deliver exceptional image quality, reduce scan times, and support improved patient outcomes.

The quality of clinical images plays a crucial role in providing accurate diagnoses and optimizing patient care. As technology continues to evolve – deep learning – a subset of artificial intelligence (AI), has emerged as a powerful tool for clinicians. It can positively impact diagnostic accuracy and improve disease detection, which can help improve patient outcomes across clinical specialties.

"Blurry images can compromise clinicians' ability to diagnose with confidence and speed," said Roland Rott, President and CEO, Imaging, GE HealthCare. "At GE HealthCare, we're ushering in a new era of image resolution with deep learning-powered imaging reconstruction. These AI-powered solutions not only enhance image quality but also streamline workflows, enabling radiologists to work more efficiently and cost-effectively. It also has the potential to provide patients’ more timely access to imaging and consequentially may enable earlier diagnosis and treatment. By leveraging AI and deep learning technologies, we remain committed to delivering advancements that help empower clinicians to make more confident diagnoses and improve outcomes for patients worldwide."

New Effortless Recon DL solutions address pain points across care pathways
Across healthcare, there is a need for improved image quality to help early diagnosis and treatment for patients. The need is particularly acute in chronic illnesses, such as neurological conditions, cancer, and cardiovascular disease, where incidence rates are increasing globally due to population growth and aging.[ii] In fact, 2024 is the first time the U.S. is expected to report more than two million new cancer cases in a year – equaling almost 5,500 cancer diagnoses each day.[iii]

Imaging is a critical component to addressing these conditions, ensuring early and accurate diagnosis, as well as ongoing management. More than 80% of hospital visits include early diagnostic imaging across over 23,000 conditions,[i] underscoring the sheer volume of images. While their work is essential, many radiologists suffer from burnout. According to a survey of more than 8,000 radiology professionals included in a 2024 report from the American Society of Radiologic Technologists (ASRT), more than half (54%) reported feeling emotionally exhausted, and 57% felt underappreciated on the job.[iv]

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