RealNow

A one-stop AI assisted diagnostic platform for acute stroke


It is an imaging processing software that quickly obtains the imaging indicators required for stroke diagnosis and treatment. It can quickly provide accurate imaging analysis and quantitative data results for clinical decision-making on acute reperfusion treatment of stroke, assisting clinical rapid development of the best treatment plan.


Market background

According to the "Third National Sampling Survey Report on the Review of Causes of Death", cerebrovascular disease has now risen to the top cause of death in the country, with stroke being the disease with the highest disability rate of a single disease. One person in China experiences stroke every 12 seconds and one person dies from stroke every 21 seconds.


The current situation of stroke diagnosis and treatment in China: Traditional imaging processing takes a long time, lacks the quantitative imaging indicators required for ultra window thrombolysis and thrombectomy, relies on subjective experience, and is prone to misdiagnosis and misdiagnosis, resulting in high mortality and disability rates for stroke patients.


Product solutions 


RealNow is a one-stop AI assisted diagnostic platform for acute stroke, which is an image processing software that quickly obtains the imaging indicators required for stroke diagnosis and treatment. It can provide accurate image analysis and quantitative data results for clinical decision-making on acute stroke reperfusion treatment, and assist in quickly developing the best treatment plan.


Product advantages


  • Comprehensive: Covering the analysis of imaging data required for the acute stage of stroke, providing a one-stop solution to the treatment decision-making needs of the acute stage, and assisting in clinical rational design of treatment plans.


  • Precision: Through multicenter clinical research, it has been shown that the consistency between AI assisted diagnostic data results and the diagnostic results of doctors with 20 years of clinical experience is over 95%.


  • Fast: Complete imaging analysis within 3 minutes, quickly provide auxiliary diagnostic results, make quick decisions, treat quickly, and save valuable acute treatment time.


  • Objective: AI algorithm intelligent analysis eliminates subjectivity in the diagnosis process of different doctors, and outputs objective and consistent quantitative indicators.

NCCT- ICH module

Intelligent analysis of CT plain scan (NCCT) images, rapid and intelligent analysis of intracranial hemorrhage, identification of hematoma location, calculation of hematoma volume, and assistance to clinical doctors in making treatment decisions quickly.

Assisted decision-making of treatment plans for hemorrhagic stroke - Intelligent identification and quantitative evaluation of bleeding foci

NCCT-ICH.png


NCCT - ASPECTS module

Identification of new infarct lesions and ASPECTS score for lesion severity. AI automatically and quickly provides ASPECTS scores for the 10 functional areas of the anterior circulation and the 8 functional areas of the posterior circulation, solving the problems of long time and poor consistency when doctors manually select brain regions for scoring. This provides a key auxiliary decision-making basis for clinical doctors to formulate treatment plans for ischemic stroke。

NCCT-ASPECTS.png


Angiography (CTA)

Through rapid and automatic analysis of CTA images, key auxiliary basis is provided for clinical intervention treatments such as mechanical thrombectomy.

Assisted decision-making of mechanical thrombectomy treatment plan within 6 hours - vascular stenosis assessment and surgical path planning

Intelligent analysis of CTA images through AI:

CTA.png


Perfusion Imaging (CTP/MRP)

6 hour external ultrasound window thrombectomy treatment and assisted decision-making for stroke treatment plan after awakening - intelligent fully automatic mismatch value evaluation

More widespread CTP imaging and more accurate DWI/PWI imaging for full coverage, enabling multimodal intelligent image analysis.

CTP.png