TL;DR:
- UII will showcase the latest medical AI advancements at RSNA in Chicago.
- UII’s commitment to industry collaboration has led to significant progress in medical AI applications.
- AI-driven solutions, such as CAD detection, demonstrate remarkable accuracy and efficiency.
- UII’s research expands into neurology, oncology, and more.
- Dr. Terrence Chen invites participation in the journey towards a healthier healthcare ecosystem.
Main AI News:
In the ever-evolving landscape of healthcare AI, United Imaging Intelligence (UII), a subsidiary of United Imaging Group renowned for pioneering AI applications, is gearing up to reveal its latest medical AI breakthroughs at the upcoming Radiological Society of North America (RSNA) conference in Chicago. This marks a significant return for UII, following its impactful debut at the 2019 event.
Amid the rapid evolution of AI in healthcare, UII’s commitment to fostering collaboration between industry, academia, and medical professionals has played a pivotal role in developing practical AI solutions for clinical settings. To date, the company has achieved remarkable milestones, publishing a multitude of medical AI studies and successfully deploying over 40 applications across more than 2000 clinical sites in China, thus demonstrating the scalability and profound impact of its innovations.
One exemplary instance of UII’s pioneering work revolves around addressing the pressing public health challenge of detecting Coronary Artery Disease (CAD). AI-assisted 3D segmentation and parsing, derived from coronary CT angiography, have become indispensable in CAD diagnosis. However, the automated identification of complex coronary lesions, including Chronic Total Occlusion (CTO), has historically posed a challenge with previous post-processing software, necessitating labor-intensive manual reconstruction. To bridge this gap, UII, in collaboration with Shanghai General Hospital, has developed a revolutionary Deep Learning (DL) model for automated CTO reconstruction. This innovative model significantly reduces the time required for CTO quantification compared to manual methods and showcases remarkable accuracy in assessing occlusion features. The model’s effectiveness is underscored by a comprehensive quantitative analysis of several thousand clinical cases.
Expanding its horizons beyond cardiology, UII’s research ventures delve into neurology, oncology, and various other medical imaging-dependent fields, with a primary focus on AI-assisted diagnostics aimed at enhancing patient care.
Dr. Terrence Chen, CEO of United Imaging Intelligence America, emphasizes, “AI-driven solutions are no longer a mere convenience but a necessity. We extend an invitation to you to join us on this exciting journey towards a healthier and more efficient healthcare ecosystem.”
UII extends a warm invitation to all attendees to experience the future of medical AI firsthand at their interactive booth (#4100, South Hall). Furthermore, a must-see presentation is scheduled at the AI Theater and is set to commence at 11:30 am on Wednesday, November 29th, 2023.
Conclusion:
The unveiling of UII’s cutting-edge AI innovations at RSNA signifies the company’s continued leadership in the field of healthcare AI. Their dedication to collaboration and practical solutions, as demonstrated by advancements in CAD detection, sets a precedent for the industry. This development reaffirms the growing importance of AI-driven solutions in healthcare, promising a more efficient and effective healthcare ecosystem for the market.
