Body Vision Medical announced the latest software update for its revolutionary LungVision™ navigation and real-time imaging platform introducing Body Vision’s latest AI Tomography imaging algorithm, a streamlined workflow when used during robotic-assisted bronchoscopy (RAB), and reduced overall radiation exposure to medical staff and the patient during lung nodule biopsy procedures.

“Though we are at the leading edge of AI-driven, real-time intraoperative imaging, we are constantly striving to make it better,” said David Webster, CEO of Body Vision Medical. “This release reflects our latest ingenuity in producing near-CBCT-quality imaging in real-time using any standard C-arm.”

Making significant improvements to its AI-driven imaging algorithms, Body Vision’s latest software release supports the improved navigational accuracy and diagnostic success that clinicians strive for by providing key improvements in the real-time image quality achievable with LungVision™ AI Tomography during a lung nodule biopsy procedure.

 

The latest software also streamlines the LungVision™ workflow when used in conjunction with robotic bronchoscopy platforms like the Ethicon Monarch and Ion by Intuitive Surgical by eliminating the need for C-arm spins during registration. In addition to substantially  shortening the time required to complete a lung nodule biopsy procedure with real-time imaging, the abridged workflow also reduces radiation exposure to medical staff and the patient. With the latest update, when using a standard 2D C-arm, radiation exposure is potentially one-third that of the previous LungVision™ workflow which was shown to already be roughly one-fifth of the dose per spin of a 3D-capable C-arm.

LungVision™ harnesses the power of artificial intelligence (AI) to seamlessly transform X-ray images acquired from any C-arm into real-time intraoperative CT scans. This revolutionary  technology empowers bronchoscopists with the ability to visualize pulmonary lesions in real-time during diagnostic bronchoscopy. By significantly augmenting the accuracy and precision of lung nodule biopsies through image-guidance, LungVision™ has the potential to enable earlier-stage cancer detection and improve lung cancer survival rates.

Body Vision will be demonstrating LungVision™ and the benefits that AI-powered intraoperative imaging offers bronchoscopists both standalone and in conjunction with robotic bronchoscopy platforms at Booth #1331 at the CHEST 2023 Annual Meeting this week in Hawaii. This latest software release will be rolling out to existing customers in the coming weeks.

Source: Company Press Release