Medical image analysis software

Medical images represent a treasure trove of valuable patient data. Experts in healthcare solutions development, we build ML-powered medical image analysis software to effectively parse this data and generate in-depth, actionable insights into patient conditions.

Focusing on your key image analysis needs

Improving diagnostics

Leverage artificial intelligence to process medical images — such as CT scans, X-rays, MRIs, SPECT scans, and more — with greater speed and accuracy. Use quantitative data in new ways and reveal hidden patterns to make better diagnoses as well as predict serious and terminal diseases years before they manifest.

Enhancing treatment

Make the most of AI-fueled diagnostics to create effective, hyper-personalized treatment plans. Build a cutting-edge computer vision tool to enable an accurate 3D reconstruction of broken bones and streamline surgery planning. Get smart medical guidance to boost the accuracy of complex surgical procedures.

Ensuring patient safety

Tap into AI to avoid overutilization in medical imaging, minimize adverse effects, and promote better patient outcomes. Use our groundbreaking performance vs. accuracy estimation technology to calculate the minimal radiation amount necessary to produce a high-quality image for precise diagnostics.

Boosting public health

Timely detect any abnormality in human cells, tissues, and organs to prioritize at-risk patients. Take advantage of the most sophisticated ML techniques to determine a person’s genetic disposition to cancer. Accurately identify key disease patterns and trends to discover and close gaps in care.

Medical image analysis: A step-by-step process

Our healthcare professionals use robust image analysis mechanisms to drive accurate, decision-ready results.

Why choose us for medical image analysis

We mine the full potential of image analysis techniques and implement our in-house know-hows to reinvent your practice.

Machine learning expertise

Leverage our computer vision capabilities to take image analysis up a notch by unveiling deviations from the norm in human cells and organs. Such anomaly detection allows revealing suspicious areas before a malignant tumor appears.

AR and VR know-how

We have the right knowledge and tools to convert CTs, MRIs, and other scans into high-quality 3D images. Such an immersive experience will enable physicians to examine every layer of a patient’s anatomy and conduct a virtual run-through of the most complicated surgical procedures.

Technical excellence

We’re a team of subject-matter experts who work with all major medical image formats, including DICOM, Analyze, MINC, NIfTI, and ECAT7. We also adhere to key industry standards — such as HIPAA, FHIR, IEC 62304:2006 / Amd 1:2015, and more — to ensure rock-solid usability, security, and interoperability for your medical image software.

Tap into medical image analysis use cases

Underpinned by deep ML knowledge, we empower physicians to timely detect anomalies in medical images across pulmonology, cardiology, ophthalmology, and more.



Our medical specialists develop advanced AI algorithms and train them on a wide range of pathology images with dead cells and various mutations to identify any tumor type and suspicious tissue areas.



Draw on our expertise to precisely segment coronary arteries, early detect pathologies like blood vessels narrowing and hardening, perform timely clinical intervention, and prevent a heart attack.



Leverage computer vision-enabled two-dimensional and three-dimensional image processing to thoroughly analyze the lung capillary system and prevent respiratory diseases like emphysema or pulmonary embolism.



Capitalize on our hard-earned computer vision experience for smart 3D bone alignment. Enhance bone fracture surgery planning and get intelligent digital guidance during the operation.



Easily identify retinopathy of prematurity, retinal vein occlusion, anterior segment disorder, and other eye diseases. Perform computer-vision assisted cataract surgery to accurately replace a patient’s cloudy lens with a new intraocular lens.