Tomohiro Tada
CEO
AI Medical Service
AI Medical Service develops AI-powered diagnostic software for endoscopic imaging to enhance the detection of gastric and colorectal cancers. Their technology addresses the issue of missed early-stage cancers during endoscopic examinations, which can lead to higher mortality rates.
- Artificial Intelligence
- Healthcare Technology
- Software Only
Updated 23 months ago
Funding
Raised to date
$115.5MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Endoscopic examinations can miss early-stage gastric and colorectal cancers due to human error, variations in physician expertise, and the sheer volume of images to review, leading to delayed diagnoses and increased mortality rates. This is further exacerbated by a global shortage of skilled endoscopists, particularly in regions with high cancer prevalence, resulting in many cancers being diagnosed at advanced stages.
Solution
AI Medical Service develops AI-powered software designed to enhance the detection of gastric and colorectal cancers during endoscopic procedures. Their gastroAI™ platform analyzes endoscopic images in real-time, highlighting suspicious lesions that may warrant further investigation, such as biopsy. By providing decision support to endoscopists, the software aims to reduce the rate of missed cancers, improve diagnostic accuracy, and enable earlier treatment interventions. The platform consists of gastroAI™ model-G, which detects lesions indicative of early gastric cancer and adenomas, and gastroAI™ model-EIRL, which focuses on the detection of colorectal polyps.
Target Audience
The primary target audience includes gastroenterologists, endoscopists, hospitals, and screening centers seeking to improve the accuracy and efficiency of cancer detection during endoscopic examinations.
Features
- Real-time analysis of endoscopic images to detect potential cancerous lesions.
- AI-driven decision support to assist endoscopists in identifying areas for further examination.
- gastroAI™ model-G: Detects lesions suspicious for early gastric cancer and adenomas.
- gastroAI™ model-EIRL: Detects colorectal polyps.
- Integration with existing endoscopic imaging systems.
- Web service (gastroBASE screening) to share data from gastric endoscopy screenings and secondary readings, facilitating data aggregation and workflow efficiency.
- Database of meticulously reviewed endoscopic images used for training the AI models.
- Algorithms developed based on over 50 published research papers.