Vesica AI develops artificial intelligence-based diagnostic support software specifically for bladder cancer detection during cystoscopy procedures. This technology assists urologists by enhancing the detection of non-muscle invasive bladder cancer (NMIBC) lesions. The software aims to improve patient outcomes while streamlining clinical workflow efficiency.
Funding
$750K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The detection of non-muscle invasive bladder cancer (NMIBC) lesions during cystoscopy can be challenging, potentially leading to missed or delayed diagnoses. Inadequate lesion identification can negatively impact patient outcomes and increase the risk of disease progression.
Solution
Vesica AI offers an AI-powered diagnostic support software designed to enhance the accuracy and efficiency of NMIBC lesion detection during cystoscopy procedures. The software analyzes real-time cystoscopic video feeds, applying advanced machine learning algorithms to identify and highlight suspicious areas indicative of cancerous lesions. By providing urologists with augmented visualization and decision support, Vesica AI aims to improve lesion identification rates, streamline clinical workflows, and ultimately contribute to better patient outcomes through earlier and more accurate diagnoses. The platform integrates seamlessly into existing cystoscopy setups, providing real-time feedback without disrupting established clinical procedures.
Target Audience
The primary target audience includes urologists and medical professionals specializing in bladder cancer diagnosis and treatment, as well as hospitals and clinics offering cystoscopy services.
Features
- Real-time analysis of cystoscopy video feeds using deep learning algorithms
- Automated detection and highlighting of suspicious NMIBC lesions
- Integration with existing cystoscopy equipment for seamless workflow
- User-friendly interface providing clear and concise diagnostic support
- Customizable sensitivity settings to adjust detection parameters