AI for Benign Prostatic Hyperplasia BPH
How can Artificial Intelligence benefit urology patients, in particular those affected by prostate BPH (Benign Prostatic Hyperplasia)? AI-based solutions for urology applications are under development
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How Can AI Assist in Single-port Robotic Surgery?
The use by the surgical community of single-port as a surgical approach is increasing in frequency. A port is the entrance gate of the tools
AI-Assisted Brain Surgery
Brain surgeries are very complex: they need to be extremely accurate, since you want to spare healthy tissue; planning is very thorough, as the surgeon
Visualization Modalities for Surgery with AI
Our team has followed with deep attention the recent Hamlyn Symposium. In particular, we have enjoyed the great presentation by Professor Laura Marcu from UC
AI for Structural Heart Procedures
Structural heart diseases include structural deformation of the heart, like valve leakage: the blood flows in two directions and the patient is losing efficiency of
Stone tracking during kidney stone removal
Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. There are various treatment options for urolithiasis. The
AI-Assisted Tissue Sparing in Urology
Tissue sparing is a common practice during surgeries. This approach aims to remove as little as possible of the surrounding tissue during a procedure. Studies
Trimming and Anonymizing Surgical Videos
As the use of robotic assisted surgeries (RAS) increases, so does the amount of recording cameras in the operating room (OR). The data from these
Data Generation in Robotic Assisted Surgeries (RAS)
Every deep learning based system requires sufficient data for proper training and reliable testing. Therefore, data collection and annotation are the first and foremost required
PCNL – Planning and real-time navigation
Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology
AI for Benign Prostatic Hyperplasia BPH
How can Artificial Intelligence benefit urology patients, in particular those affected by prostate BPH (Benign Prostatic Hyperplasia)? AI-based solutions for urology applications are under development
AI-Assisted Brain Surgery
Brain surgeries are very complex: they need to be extremely accurate, since you want to spare healthy tissue; planning is very thorough, as the surgeon
PCNL – Planning and real-time navigation
Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology
Implementing AI to Improve PI-RADS Scoring
Prostate Cancer and PI-RADS scoring Prostate cancer is the most common male cancer in the USA. When diagnosed early, mortality rates are very low, therefore,
Tissue Sparing in Robotic Assisted Orthopedic Surgeries
Orthopedic surgeries such as hip or knee replacement are performed via an incision which often compromises the surrounding tissue. The assimilation of RAS into these
Procedural Planning in Urology
Challenges in Biopsies There are various types of urological cancers, the most common ones being prostate and kidney cancer. In cancer, early and accurate detection
Radiation Reduction in Robotic Assisted Surgeries (RAS) Using AI
Fluoroscopy is an extremely useful imaging tool in surgical procedures in orthopedics, cardiology, GI, etc. In some cases, it is used as a real-time modality
Hyperspectral Imaging for Robotic Assisted Surgery
Standard imaging techniques make use of the visible light spectrum. As is known, the visible light is divided into three bands – red, green, and
Image Analysis and Artificial Intelligence in Urology
Artificial intelligence (AI) and deep learning play an increasingly crucial role in medical imaging in general, and in the field of urology particularly. The applications of AI in urology are numerous, starting with accurate diagnosis (using image segmentation and abnormality detection), continuing with biopsy and operative procedures (using tools for assisted navigation and robotic guidance), and ending in treatment assessment (using tools similar to those used in diagnosis in order to assess the response to treatment).
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One-click segmentation of medical images
In the medical field, image analysis plays a crucial role in both diagnosis and treatment. Its central tool is segmentation, which involves partitioning an image
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