
ChestAi provides rapid, AI-driven analysis of chest X-rays to improve diagnostic accuracy and speed for healthcare providers. The company offers a cloud-based SaaS platform that uses deep learning computer vision models (VGG-16, DenseNet-121, MobileNetV1, AlexNet) and is built with Python, JavaScript, NoSQL, and AWS infrastructure. Its patent-pending algorithms automate detection of multiple lung diseases and have been tested in hospitals and radiology labs across the United States and Asia. ChestAi targets healthcare providers and radiology workflows to reduce diagnosis turnaround times and supplement limited radiology capacity. The solution aims to expand access to radiological diagnostics in underserved regions while improving reporting consistency and efficiency.

ChestAi provides rapid, AI-driven analysis of chest X-rays to improve diagnostic accuracy and speed for healthcare providers. The company offers a cloud-based SaaS platform that uses deep learning computer vision models (VGG-16, DenseNet-121, MobileNetV1, AlexNet) and is built with Python, JavaScript, NoSQL, and AWS infrastructure. Its patent-pending algorithms automate detection of multiple lung diseases and have been tested in hospitals and radiology labs across the United States and Asia. ChestAi targets healthcare providers and radiology workflows to reduce diagnosis turnaround times and supplement limited radiology capacity. The solution aims to expand access to radiological diagnostics in underserved regions while improving reporting consistency and efficiency.
Product: AI platform for automated chest X‑ray diagnosis and localization of multiple lung pathologies
Founded: 2019
Tech claim: Tested on ~112,000 images; per-image turnaround <1 minute
Origins: Started by computer scientists and geneticists at Yale University
Improving radiological diagnostic accuracy and turnaround for chest X‑rays; expanding access to diagnostic imaging in underserved regions.
2019
Data and Analytics
525000