Medical Imaging Companies

Exo Imaging

Santa Clara, United States

Exo Imaging develops a compact, handheld ultrasound system – the Exo H1 – coupled with AI-powered workflow tools designed to democratize point-of-care ultrasound (POCUS). Their technology utilizes real-time AI to automate key tasks such as anatomy labeling, standardized view capture, and precise measurements, even functioning offline. This system aims to simplify ultrasound adoption and improve diagnostic confidence for a broad range of healthcare providers, and has been designed to replace traditional, large-scale ultrasound carts and probes.

Viz.ai

San Francisco, United States

Viz.ai is an AI-powered care coordination platform specializing in the automated detection and analysis of acute medical conditions. Their core technology utilizes over 50 FDA-cleared algorithms to analyze medical imaging – including CT scans and EKGs – and rapidly identify suspected stroke and other time-sensitive diseases. Viz.ai targets hospitals and health systems, aiming to accelerate diagnosis, optimize clinical workflows, and improve patient outcomes through faster treatment decisions.

Aidence

Amsterdam, Netherlands

Aidence built AI software for lung-cancer screening—its CE-marked Veye Lung Nodules detects, classifies and tracks pulmonary nodules on CT scans. Founded in 2015 in Amsterdam; acquired by RadNet in January 2022 and now part of RadNet's DeepHealth AI unit.

Lunit

Seoul, South Korea

Lunit develops AI for cancer screening and treatment, including its FDA-cleared Lunit INSIGHT imaging suite (used at 10,000+ sites across 65+ countries) and the Lunit SCOPE biomarker platform. Founded 2013 by KAIST graduates; CEO Brandon Suh. Public on Korea's KOSDAQ since July 2022.

Monai

Santa Clara, United States

Monai is an open-source, PyTorch-based framework designed to accelerate the development and deployment of AI-powered medical imaging solutions. It provides a comprehensive suite of tools – including pre-processing, model training, and evaluation – specifically tailored for analyzing modalities like MRI, CT, and X-ray images. Developed jointly by NVIDIA and King's College London, Monai is gaining traction within the research community and is being utilized in projects focused on disease detection, segmentation, and image registration, with a growing ecosystem of contributed workflows and models.

Huna

Sao Paulo, Brazil

Huna is a Brazilian health-AI company that applies machine learning to routine blood-test results to predict cancer risk, optimize screening and support diagnosis, with early work focused on breast cancer. Founded in 2022 in Sao Paulo by Vinicius Ribeiro, Daniella Castro and Marco Kohara, its team published results in Nature in 2024 and the platform draws on millions of patient records.

Insightiv

Kigali, Rwanda

Insightiv is a Rwandan health-tech company that combines teleradiology with artificial intelligence to deliver faster medical-image diagnosis. Its platform applies deep-learning models to chest X-rays and other scans to detect anomalies and route cases to remote radiologists for hospitals that lack on-site specialists.

Powerful Medical is a Slovak deep-tech company whose AI medical device PMcardio interprets 12-lead ECGs to detect acute heart attacks and dozens of other cardiac abnormalities. Its Queen of Hearts STEMI model received an FDA Breakthrough Device Designation and is used by clinicians across multiple countries.

minoHealth AI Labs

Accra, Ghana

minoHealth AI Labs is a Ghanaian health-tech company that applies AI to medical imaging for radiology and microscopy. It built Ghana's first AI tool for analyzing chest X-rays across 14 conditions and also interprets mammograms, CT and MRI scans to expand access to diagnostics in Africa.

Dr CADx is a Zimbabwean medical-imaging company building a computer-aided diagnostic system that uses deep neural networks to interpret medical images such as chest X-rays. Its software detects tuberculosis and a range of chest pathologies to help clinicians in regions with severe shortages of radiologists. It was founded by Gift Gana and Tatenda Madzorera.

CheckEye

Kyiv, Ukraine

CheckEye is a Ukrainian health-tech startup that uses AI-powered, cloud-based retinal image analysis for mass screening of chronic diseases, beginning with diabetic retinopathy. A nurse photographs a patient's eye and the platform returns an AI assessment, detecting vascular changes linked to diabetes, hypertension and other conditions. The company won the EIT Health InnoStars Awards and has screened thousands of patients in Ukraine.