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How Artificial Intelligence is Reforming the field of Medicine

How AI is all set to transform Medicine

Artificial intelligence never failed to create wonders in the field of healthcare.  AI helped with issuing with the first warning for coronavirus even before the WHO and CDC did. It can completely negate the chances of alarm fatigue.

For example, Watson’s Health of IBM exploits artificial intelligence to increase the time to market for drugs. Furthermore, this has helped the company cut down costs up to 50%. 

AI is on a trajectory of continuous growth and development in the field of healthcare by just looking at the eye to predict one’s cardiovascular health to identifying the risk of Alzheimer’s before analyzing the probability of the patient being admitted for the same. Look 

at the different ways with which AI is revolutionizing the field of medicine. 

 

  • Antidepressant treatment with brain waves 

A machine learning algorithm was deployed to identify the best antidepressant by observing the brain waves of a patient. The brain wave patterns were measured using electroencephalography and then certain antidepressants were prescribed based on the brainwave pattern.  

 

  • Identifying rare diseases from photos 

In a study from a University in Berlin, AI-equipped software programs were used to study the characteristic facial features to analyze the neuronal network data for faster diagnosis. This method also improved the accuracy rate to a remarkably good level now. 

 

  • Coming out of a coma

In situations where it is necessary to determine whether a person will come out of a coma or vegetative state, AI helps in making informed steps as to correctly predicting whether a patient will gain consciousness or not. Chinese Academy of Sciences and PLA General Hospital in Beijing has developed such a system to evaluate brain scans and retake the doctor’s decisions. 

 

  • Nipping Alzheimer’s in the bud

Researchers at the University of California in San Francisco enabled a deep learning algorithm on FDG-PET scans to identify the metabolic patterns associated with Alzheimer’s diseases even before the disease sets in.  

 

  • Just a look in the eye to prevent heart attack

 

Google researchers developed deep learning models trained on data in which the AI then taught itself what to specifically look for on retinal images to identify patterns in the eyes.  

 

Not just treating patients, artificial intelligence plays an integral role in recognizing risks and taking timely preventive measures as well.

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