Efficient | Intelligent | Easy to Use
Intixel AIRA Features
FULLY AutomatED Analysis and Quantification
AIRA support radiologist with a second AI-powered observer who classify patients, annotate their abnormalities.
Automatic Draft Reports
AIRA prepares a structured draft report with potential indications accompanied by image findings embedded in the same report with the ability to edit it.
SYSTEM Continuously LEARN FROM RADIOLOGIST
AIRA is designed to accumulate diagnostic disagreement with radiologists and continuously renew its predictive models by fusing the original model and new specific cases in a seamless manner.
Automated TRIAGE
Intixel AIRA focuses on helping radiologists to increase efficiency and save time by flagging and prioritizing cases in the worklist that radiologists use to select studies to review. This prioritization is enabled by advanced deep learning algorithms
POINTING OUT ABNORMALITIES IN BREAST MAMMOGRAPHY
Intixel is focusing on supporting mammographers interpret and diagnose digital mammograms in a fast, accurate, and confident approach. AIRA Breast is Intixel’s prospective mammography solution which will aid the radiologist with a more accurate interpretation of breast tissue composition and suspect lesions.
AIRA Breast system utilizes 2D mammography data such as Full-Field Digital Mammography (FFDM) as well as 3D Breast Tomosynthesis. AIRA Breast can classify breast tissue composition and identify suspicious regions of malignancy and observed calcifications. Also, AIRA Breast uses state of the art machine learning that automatically classify scan images to the four tissue composition types (Almost entirely fatty, scattered areas of fibroglandular density, heterogeneously dense, and extremely dense). At Intixel, our core goal is to reduce the number of false negatives (Type II Error) that currently hinder most of other CAD solutions in the market.
DEFINING MAJOR ABNORMALITIES IN CHEST XRAY
Intixel is striving to support radiologists accurately detect lung mass, cardiomegaly, consolidation, and pneumothorax in the form of computer-aided diagnosis software called AIRA Chest. The under development AI-powered AIRA Chest produces the location of detected tumors in the form of region of interest or heatmaps. Also, system can generate an abnormality severity score reflecting the probability that the detected area is abnormal.
The prospective application is designated to be involved in the initial interpretation process by physicians as a second-rater. At Intixel, we aim our core goal is to elevate the level of confidence reducing the number of false negatives (Type II Error) that currently hinder AI solutions spread in the market, help radiologist produce a validated diagnosis, limit difficult cases from being missed, and enable trainee radiolosgist to perform at specialist level in detecting chest abnormalities.
Quantifying Coronary Tree and highlighting Stenotic Segments
Work on this module is still in progress
