Wayne State University secures patent for AI system that detects surgical bleeding in real time

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Wayne State University and RediMinds Inc. received U.S. Patent No. 12,635,098 B2 for technology that uses machine learning and computer vision to detect arterial bleeding during surgery. The system displays bleeding sources through augmented reality overlays, helping surgeons respond quickly during robotic and laparoscopic procedures across over 9,000 U.S. hospital systems.

Wayne State University Patents Real-Time Detection of Surgical Bleeding Technology

Wayne State University and RediMinds Inc. of Southfield, Michigan, have secured U.S. Patent No. 12,635,098 B2 from the United States Patent and Trademark Office, marking a significant advance in surgical technology. Issued on May 26, 2026, the patent titled "Systems and Methods for Detecting, Localizing, Assessing and Visualizing Bleeding in a Surgical Field" addresses intraoperative bleeding, a critical complication during minimally invasive surgeries that can lead to poor patient outcomes and even death

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The research was led by Abhilash K. Pandya, professor of electrical and computer engineering in the James and Patricia Anderson College of Engineering at Wayne State University. This U.S. patent for surgical technology protects an innovation designed to tackle one of surgery's most dangerous moments: when unexpected bleeding blocks visualization of the surgical field, a condition known as a "red out"

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Source: Newswise

Source: Newswise

How Machine Learning and Computer Vision Techniques Detect Arterial Bleeding

The patented system assists surgeons by detecting and visualizing significant arterial bleeding in real time during surgical procedures. It leverages a surgical camera combined with computer vision techniques and machine learning algorithms that identify and locate sources of intraoperative bleeding. Once detected, these bleeding sources are presented to the surgeon using augmented reality overlays, enabling precise and rapid control of the hemorrhage

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The surgical bleeding detection system is designed as an add-on to existing robotic or laparoscopic surgical systems. With over 2,000 robotic surgery systems and 7,000 laparoscopic systems currently deployed in hospitals around the United States, the technology has substantial potential for widespread adoption .

AI-Assisted Robotic Surgery Signals Future of Surgical Safety

"This patent represents an important step toward the future of AI-assisted robotic surgery," said Dr. Pandya. "As artificial intelligence becomes more mature, it will serve as a watchful partner to the surgeon - monitoring bleeding, patient condition, surgeon fatigue, etc. - while providing timely warnings and proactive support to help prevent patient injury"

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Source: News-Medical

Source: News-Medical

The technology promises to reduce complications and improve patient outcomes across multiple dimensions. Benefits include saving lives, reducing the need for blood transfusions and donations, shortening hospital stays, lowering infection rates, and decreasing healthcare costs. The system also advances the frontier of intelligent surgical safety tools, positioning AI as an active monitoring partner during critical procedures

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From Laboratory to Marketplace: Commercialization and Impact

Dean Ali Abolmaali of the James and Patricia Anderson College of Engineering emphasized that the patent exemplifies how expertise in artificial intelligence, computer vision, and medical technology can address critical challenges in modern surgery. The innovation demonstrates engineering research's capacity to create technologies with global benefits

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Taunya Phillips, assistant vice president for technology commercialization at Wayne State University, noted that securing this intellectual property ensures research creates real-world societal and economic benefits. The commitment to moving discoveries from laboratory to marketplace positions this surgical technology innovation to impact surgeons' work in Michigan and beyond

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. As robotic surgery continues expanding and AI capabilities mature, this real-time visualization system could become standard equipment in operating rooms, fundamentally changing how surgical teams manage one of surgery's most dangerous complications.

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