Philips Integrates Cloud-Based AI and 3D Mapping into its Mobile C-arm System Series - Zenition

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced physicians will now have access to advanced new 3D image guidance capabilities through its Image-Guided Therapy Mobile C-arm System - Zenition, delivering enhanced clinical accuracy and efficiency, and aiming to improve the outcomes for patients undergoing endovascular treatment. The company has signed a strategic partnership agreement with Cydar, a UK-based provider of cloud-based procedure maps software to plan and guide surgery in real time.

As patient numbers rise and procedures become more complex and time-consuming, patient-specific real-time procedure planning and guidance, optimization of equipment utilization, and usability have become ever more important. To help overcome these challenges, Philips Image-Guided Therapy Mobile C-arm System - Zenition - brings together innovations in image capture and processing, ease-of-use, and versatility, many of which were pioneered on Philips' highly successful image guided therapy platform Azurion. Like Azurion, the Zenition mobile C-arm system allows hospitals to maximize operating room performance, enhance their clinical capabilities, and provide staff with a seamless user experience. The integration of Cydar EV Maps software into the Zenition platform now adds extended procedure planning and real-time 3D guidance capabilities.

Cloud-based AI and computer vision

Cydar EV Maps assists in the planning, real-time guidance, and post procedure review of endovascular surgery. It brings cloud-based AI and computer vision to mobile surgery, enabling reductions in radiation exposure, fluoroscopy time, and procedure time together with improved ease of use [1,2]. It enables surgeons to create a detailed patient-specific 3D map of the target vasculature to help plan surgery, and then uses these maps to augment intraoperative live image-guidance, updating the maps in real time to account for deformations during surgery, such as guidewires and instruments deforming the patient’s blood vessels. Cydar EV also facilitates post procedure outcome analysis. The combined result of this integration of procedure planning, guidance and review is that surgeons can work more accurately and efficiently - enabling an approximate 50% reduction in radiation exposure [1], a significant reduction in fluoroscopy time and a reduction of procedure times by more than 20% [2], while helping achieve better outcomes for patients.

"With Philips' integrated portfolio, using validated AI and cloud technologies, we can facilitate collaborative care to optimize surgical pathways," said Karim Boussebaa, General Manager Image Guided Therapy Systems at Philips. "Philips has a strong global network of mobile surgery systems and recognizes that Cydar’s EV Maps solution can play a key role in further improving our integrated offering for endovascular procedures."

"By partnering with Philips to bring our Cydar EV Maps solution to Philips' user-friendly Zenition platform of mobile C-arms, we are a step closer to achieving our mission to ensure every image-guided minimally-invasive surgical procedure goes exactly as planned," said Paul Mussenden, CEO of Cydar. "The benefits of this combined solution, with integrated and enhanced procedure planning and visualization, include shorter and more predictable procedure times, reduced X-ray exposure to patients and staff, and fewer injections of iodine dye - the leading cause of in-hospital kidney failure."

Cydar EV Maps is currently in use across the EU, UK and US. It is certified Software-as-a-Medical Device with EU CE mark and U.S. FDA 510(k) clearances.

About Royal Philips

Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and well-being, and enabling better outcomes across the health continuum – from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care. Philips generated 2020 sales of EUR 17.3 billion and employs approximately 78,000 employees with sales and services in more than 100 countries.

About Cydar

Cydar Limited specializes in medical computer vision, machine learning and cloud high-performance computing. Cydar EV is a cloud-based software platform that generates patient specific 3D Maps of soft tissue vasculature to support more effective image guided, minimally invasive endovascular surgery. The system comprises pre-operative procedure planning functionality and real time, AI enabled 3D intra-operative imaging and procedure guidance, with procedure video capture and post procedure review functions.

Cydar EV Maps harnesses the latest in cloud GPU computing, computer vision and machine learning technology to advance surgical visualization and decision-making in theatre and across the surgical pathway. Cydar's Surgical Intelligence system is learning from every case to develop a deeper understanding of surgery.

Headquartered in Cambridge, UK, Cydar’s focus is to build a future where all patients benefit from augmented surgical intelligence. Cydar EV Maps is the first product from Cydar's Intelligent Maps system.

1. Southerland K, Nag U, Turner M, Gilmore B, McCann R, Long C, Cox M, Shortell C. IF09. Image-Based Three-Dimensional Fusion Computed Tomography Decreases Radiation Exposure, Fluoroscopy Time, and Procedure Time During Endovascular Aortic Aneurysm Repair. J Vasc Surg. 2018;67: e61-e61
2. Shortell C., Veith Symposium New York, 2017

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...