How Google’s AI can predict when a patient is going to die

Google is the number one search engine that provides you with all the information you search for. Nowadays Google’s information system is so vast that it can even predict when a patient is going to die. Google’s artificial intelligence has a new type of algorithm that is supporting it. Artificial intelligence is machine based that Work like humans. It works directly without any instructions from human beings. According to the Bloomberg report, Google has a new algorithm backed up by artificial intelligence that can predict when a patient is going to die.

Google’s artificial can predict a patient’s death with accuracy:

Here is an example of Google AI’s accuracy –

A woman was suffering from late-stage breast cancer and she went to the city hospital where doctors predicted 9.3% chances of her death whereas Google’s AI predicted 19.9% chances of her death. The woman passed away soon sadly but the Google’s AI proved to be right. Google’s AI took the information about patient’s age, health record, and medical report and combined these with the reasons why the patient is staying in the hospital, information about the hospital, any lab results and could find out if the patient is going to die. A research paper published in nature, showed the accurate results of Google’s AI. Google’s AI is tested by neural networks on 216,221 adult patients from two academic medical centers in the US. More than 46 billion of data points were used. Results were all accurate. The AUC-ROC statistic was used by researchers to know the accuracy of their model.

Advantages of Google’s AI in healthcare:

• Improvement in diagnosis -In the medical field, AI has the ability to diagnose the disease. AI helps in detecting and diagnosing early-stage breast cancer in some women
• Better care of the patients-Artificial intelligence provides patterns to doctors so that better caring for their Patients.
• Improvement in patients habits -The patient's habits such as medications, sleep diet etc. can also be controlled by artificial intelligence’s algorithm.
• Reducing risks-The risks of patient’s health can be reduced in earlier stages when the diagnosis is done.
• Good Money earning -Along with the accuracy there comes the advantage of earning money in the field of healthcare.
Consequences of Google’s AI:
• Difficulty in serving rural communities –
One of the consequences of AI is the difficulty in treating the people living in rural communities. Less than 10% of physicians practice in these communities
• Domination of the last technology: we all know change is tough though. The healthcare society has still relied on the last technologies like EMRs which were supposed to be an easier job. That’s why it Become tough to switch to an expensive yet time-consuming system.

Conclusion:

Artificial intelligence is going to be a vast field in every aspect including healthcare. The benefit of AI is still somewhere unknown. In the future, it is going to be a dominating field that will be beneficial mostly in predicting the death of a patient.