Thursday, April 26, 2018

Corti :The real-time ai co-pilot that helps to analyze symptoms and alerts emergency in fast pace

Medical necessity has grown deep and far stretched these days for everyone at any plotical conditions that we never expect to happen. When the heads of innovations advancing in one side , the other side diseases and emergency requirements for an human being gets more close with various fatalities incurred in modern era. 

 I was talking about AI in the medical stream through various ways and output efficiency results seems to be improving than earlier . Earlier in few of my posts , i was telling how artificial intelligence detects out the colorectal cancer, how ai is helping humans to sway off the suicidal thoughts  and also how ai is been helpful to curb out in finding out the pre-diabetic patients in earlier stage .

But now i'd like to talk about how this ai is helping patients to find out cardiac arrest at the emergency conditions and also helpful in diagnosis . European Emergency Number Association ( EENA ) has recently announced their partnership with Danish AI startup Corti : a real time artificial intelligence assistant that has the capacity to rout out emergency conditions for cardiac arrest in Europe with the precise decision making skills with the intuitive training of deep learning mechanism concepts and adaptive neural network algorithm technique 

cardiac arrest emergency condition

Cardiac Arrest is a most common heart illness that happens when your heart suddenly stops pumping blood around the body and it is caused by abnormal heart rhythms called arrhythmia. It is not quiet an easy task for any doctors to conduct a check before it comes but some of the habits that causes cardiac arrest in high magnitude possibility. With the artificial intelligence that leverages the concept of deep machine learning with Neural Network Algorithm , now it has become quite possible to chuck out the pre-matured cardiac arrests so quickly .

Corti's main goal is to make sure that it detects properly and improve the output efficiency , accuracy of dispatchers diagnostic process with the deep learning analysis even the human brain could not able to match the accuracy of corti's out forte brilliance in recognizing results so accurately and quickly. The tests were conducted on 4000 emergency calls on cardiac arrests where it seems to be Human diagnostic dispatchers could able to trace out with 74% accuracy whereas Corti outsmarted those results with 94% accuracy which is stunning .

corti processing technique

How It Works ? 

 Working procedure of Corti seems to be more flexible and user friendly. When a patient or a by-stander or any tres passer makes the call . Corti will assist the dispatcher that listens to the conversation that triggers the signal for both verbal and non verbal communication such as tone and voice are easy to be considered to produce more effective result in approaching diagnostically with the digital assistance through deep learning technique by listening to sound stream to extract the most important and vital features which are necessary to process through reasonable frameworks 

When the tone and voice are recorded simultaneously , all the data which were analyzed or recorded during emergency calls are now taken into plot and automatically detected , analyzed by CORTI with this pre-defined trained meta data results to match the patterns and find out the immediate and effective results. This could be achieved only through Neural Network Training and Deep learning complexity which makes this possible through millions of database collected for research and comparing during analysis purpose will be now called for reference during analysis digitally 

As Corti is a smart digital assistant that has the in built and learns from the existing results more quickly and it predicts the critical situation of any patient based on situation , symptom descriptions and signal analyzing at the time of emergency more deeply via. audio and voice recognition. It then sends the alerts and notifications to dispatchers in handy through its intelligent reasoning in real time and predicting accurate and incredibly fast by combining machine learning models that utilize advanced feature extraction capabilities . It works on recurrent and convolution neural network approaches to examine a larger contextual input 

EENA is now in a verge to spot out the locations which are suitable for Corti to be implemented at the earlier stage than going wide and the director is very clear in his decision to extend its operations all over Europe later and then to the globe to show how ai is very successful in making decisions at the real-time scale during emergency conditions and it is pretty sure that this Corti is good enough to pick up the distress signs than humans more effectively is a challenging work and also risky too but good and smart initiative startup from the team to bring another limelight in medical field with the aide of AI is fiendishly brilliant & pretty insightful. 

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