Augment: DeepTech’s X-ray AI

Augmento: AI for X-rays Augments X-Ray: AI for Radiology Optimization Lung and cardiac diseases are among the leading causes of death and disability worldwide. Early diagnosis and treatment of these conditions can significantly improve the outcomes and quality of life for patients.

Augmento: AI for X-rays However, diagnosing lung and cardiac diseases can be challenging, especially in resource-limited settings where access to advanced imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) is scarce.

Augmento: AI for X-rays Augmento X-Ray: AI for Radiology Optimization Chest X-rays are the most widely available and affordable imaging technique for lung and cardiac evaluation, but they require skilled radiologists to interpret them accurately and efficiently.

This is where Augments X-Ray, a new artificial intelligence (AI) solution developed by, a medical imaging AI company in India, comes in. Augment X-Ray is a cloud-based platform that uses deep learning algorithms to automatically detect and report various lung and cardiac pathologies from chest X-rays. It is the first AI solution of its kind to receive clearance from the U.S.

Augmento X-Ray aims to optimize the radiology workflow by reducing the radiologist’s effort, improving productivity, and enhancing report quality. It can accurately diagnose over 20 different pathologies, such as pneumonia, tuberculosis, lung cancer, heart failure, and cardiomegaly, among others. It also prioritizes critical cases and presents them to the radiologist first, ensuring timely intervention for those who need it the most.

Augmento X-Ray works by pre-screening all chest X-rays and presenting the results to the radiologist, who can approve or modify them with a click of a button. A standardized and high-quality report is then instantly generated and made available to the radiologist for a final sign-off. The platform also provides a visual overview of the cases reported, patient demographics, imaging modalities, and other analytics. Additionally, it supports sending push notifications to physicians, administrators, and patients.

Augmento X-Ray can be deployed in two ways: either through a secure cloud service that can receive scans from different geographical locations, or through an on-premise server that operates within a local area network. The cloud option is scalable, elastic, and has negligible downtime, while the on-premise option is suitable for large hospitals and imaging clinics that prefer to keep their data within their premises.

Augmento X-Ray is currently in use in more than 60 hospitals and medical imaging centers in India and abroad. It has demonstrated an 86% improvement in productivity and a 46% reduction in reporting times for a group of radiologists assisted by the platform, compared to a control group not using it.

Augmento X-Ray is a revolutionary AI solution that leverages the power of cloud computing and deep learning to transform radiology and improve the diagnosis and management of lung and cardiac diseases. By augmenting the capabilities of radiologists, it enables faster, better, and cheaper healthcare delivery for millions of people around the world Augmento: AI for X-rays.

To overcome these challenges,, a leading company in medical image analysis, has developed a new AI solution called Augmento X-Ray, which can enhance the quality and accuracy of lung and cardiac images using deep learning techniques.

Augmento X-Ray can enhance the image quality of chest X-rays, which are often low-quality, noisy, and blurry, and can produce high-quality, high-resolution, and 3D-reconstructed images of the lungs and the heart, which can facilitate the visualization and interpretation of the anatomical structures and pathological changes.

Augmento X-Ray is a cloud-based AI platform that can process chest X-ray images and generate high-quality, high-resolution, and 3D-reconstructed images of the lungs and the heart. Augmento X-Ray can also provide automated and accurate detection, segmentation, and quantification of lung and cardiac abnormalities, such as nodules, lesions, infections, effusions, cardiomegaly, and atherosclerosis.

Augmento X-Ray uses state-of-the-art deep neural networks, such as generative adversarial networks (GANs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), to learn from a large database of annotated chest X-ray images and produce realistic and detailed images that can improve the diagnosis and treatment of lung and cardiac diseases.

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