ChestAi

ChestAI is a company that provides an artificial intelligence-based platform for the rapid and accurate diagnosis of various lung-associated diseases through chest X-ray analysis. The application developed by ChestAI can detect conditions such as hernia, pneumonia, fibrosis, edema, emphysema, cardiomegaly, pleural thickening, consolidation, pneumothorax, mass, nodule, atelectasis, effusion, and infiltrations from chest X-ray images. ChestAI's technology aims to expedite the diagnosis process compared to the average processing time of a radiological laboratory.

ChestAI was founded by computer scientists and geneticists at Yale University in New Haven, Connecticut, US, with the goal of creating a free and open-source platform for robust and rapid diagnosis of pathologies identified through radiological examinations. The company's vision is to alleviate the burden of diagnosis and improve diagnostic accuracy through automation.

Chest X-rays are one of the most frequently performed and cost-effective medical imaging examinations, with approximately 2 billion procedures conducted annually worldwide. However, the clinical diagnosis of chest X-rays can be challenging, and some promising work has been reported in the past to achieve clinically relevant computer-aided detection and diagnosis (CAD) in real-world medical settings across all data settings of chest X-rays, which remains difficult. ChestAI aims to address this challenge through its AI-powered platform.