Iterative Health is a computer vision analytics platform that leverages machine learning and AI to augment physician judgment, improving global standards for gastrointestinal care and the prevension/diagnosis of colorectal cancer.
Problem
- Limited use of AI: AI is underutilised in optimising clinical trials for inflammatory bowel diseases (IBDs).
- Lack of standardisation: There’s lack of standardisation in characterising disease severity in IBD, which is crucial for consistent and accurate assessments across different clinics.
- Barriers to imaging services: Due to socioeconomic and geographic barriers, patients have limited access to enhanced medical imaging services that could accurately diagnose and prevent terminal illnesses.
Solution
- Enhanced assessments: Iterative Health uses machine learning and AI to enhance human perception of gastrointestinal care assessments.
- Optimised clinical trials: AI provides clearer medical imaging, improving the efficiency and effectiveness of clinical trials. Iterative Health empowers community clinical research sites and clinical trial sponsors to expand and accelerate patients’ access to novel therapeutics.
- Advanced detection: To improve adenoma detection, Iterative Health developed SKOUT, an FDA-cleared polyp detection device that supplements physician judgment.
Media Links
Type
headquarters
United States
Sector
Health Care
status
Current
founders
Jonathan Ng
partnered
2019
exited
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