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In computer-assisted surgery, split-second accuracy isn’t just a technical metric—it is a patient safety requirement. Minimally invasive procedures like laparoscopic cholecystectomy (gallbladder removal) rely increasingly on AI-driven computer vision to identify surgical tools in real time. This case study evaluates…
At OptimumT, we’re on a mission to push the boundaries of AI, especially where it matters most – saving lives. We’ve all seen the headlines about groundbreaking AI models, boasting incredible performance in labs and on massive public datasets. But…
At OptimumT, we are proud to highlight groundbreaking research that pushes the boundaries of computer vision and AI — the creation of a lightweight, highly efficient CNN-based network for real-time interest point detection and description, as detailed in the recent…
At OptimumT, we are committed to harnessing the power of artificial intelligence to transform the healthcare landscape. Our latest research, titled “Cholecystectomy Surgical Instrument Detection Using Variants of YOLOv8,” marks a significant milestone in our journey to enhance surgical precision…
In the realm of medical technology, the intersection of artificial intelligence and surgical robotics is paving the way for groundbreaking advancements. At the forefront of this revolution is the innovative research presented in the paper “NeuroEvolution of Capsule Networks for…
In recent years, the healthcare industry has witnessed a remarkable transformation driven by technological advancements. Among these, artificial intelligence (AI) has emerged as a game-changer, offering innovative solutions across various medical fields. One area where AI’s impact is particularly profound…
Recently we pushed a new version of GELAB to its GitHub repository. The new version was compiled using Matlab R2023b. The mapper, that is already written in Java, was also updated with a fresh compile. Grammatical evolution is already a…