Time matters a lot in healthcare, and analyzing medical images takes a lot of time. AI and ML image analyzing software allow identifying the health risks at the early stages. A patient’s life may depend not only on the precise diagnosis but also on the time spent on diagnostic. ML-based algorithms can analyze medical images used for diagnostics or clinical treatment faster and more accurately than human professionals.
VITech develops AI-powered custom medical imaging apps for the precise analysis of medical images in different file formats. Our medical image analysis software can scan, compare and analyze medical images quickly while avoiding errors made by humans.
We offer our clients the following healthcare medical imaging services:
Our experts develop ML-powered custom medical image analysis solutions that assist physicians and allow to improve the diagnostics process by calculating quantitative data, segmentation, and analyzing the minor changes on medical images to predict diseases at early stages. Our applications can enhance medical care by creating personalized treatment plans based on fast and efficient analysis of medical image information.
We care about patient safety, helping to avoid adverse effects, diagnostical errors, and achieve a better patient care experience through more effective medical image analysis.
We improve public health and prevent illnesses by early found abnormalities in the patient body to effectively work with risk groups, correctly diagnose diseases, indicate and solve problems in medical help.
VITech develops customized medical image analyzing applications using machine learning algorithms to detect the smallest differences and abnormalities in human cells and organs. It allows to predict and prevent illnesses visible on medical images and treat oncology and other diagnoses at very early stages. We build AI-driven medical imaging solutions that work in the following medical fields:
Our customized medical imaging software supports grayscale, color, and 3D images in various file formats and serves to visualize and analyze biomedical images.
The development of medical image viewer software and medical image processing software enables healthcare professionals to view and edit DICOM images with ease. It solves the complex issues faced when working with DICOM files that aren’t recognized as images by operating systems.
Radiology Information Systems (RIS) serve as software solutions for medical images management and data connected to these images enabling an enhanced workflow during the scheduling of visits. The software is used for the management of resources, as a reporting tool, for results distribution, tracking of exams of the patients, and billing. RIS is accompanied in usage by communication systems (PACS). AI-based software is used for sharing patient information among healthcare staff, resource management, procedures billing, reporting, examination tracking, and visualization results distribution.
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.
Quickly 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.
Our AI-driven medical image analyzing software help to improve the internal workflow of each healthcare institution allowing them to visualize, report, and share information between care workers.
Our medical image analyzing software is helpful to prevent and diagnose diseases. Automated analysis of medical images can bring a lot of benefits to providers and patients: