Artificial intelligence can predict human deaths by detecting early death risk of patients.

Artificial intelligence is a boon to organizations and industries in this tech-driven world. AI algorithms can complete any kind of work within a short period of time while providing opportunities for employees to focus on creativity. But it has been discovered that artificial intelligence can predict human death by identifying any early death risk. Even scientists and AI developers have been startled at this discovery where AI algorithms are predicting death. AI detecting human deaths is one of the unbelievable innovations in this 21st century. Scientists and developers do not have a clear understanding of how AI algorithms are predicting death. Let's dig deep into how if anyone needs to know early death risk, artificial intelligence is here to predict human deaths efficiently. 

The healthcare sector leverages artificial intelligence to boost productivity, help patients with medicines and assist doctors in analysing medical reports. Now, AI algorithms predicting death within a year is startling doctors. Doctors are observing normal reports but artificial intelligence can look at heart tests and predict early death risk. What seems like a normal ECG report to cardiologists, AI can accurately predict the early death risk of multiple patients. 

This is showing that artificial intelligence can detect certain risky elements in a human body that are invisible in the human naked eye or what professional doctors consider normal. This major disruptive technology holds the potential to teach human doctors different lessons that may be have been misinterpreted and miscommunicated for a long time. Doctors incorporated around 1.77 million ECG logs with over 400,000 patients for AI detecting human deaths from cardiac problems like heart attacks and atrial fibrillation. Later on, the AI algorithms generated the appropriate result in predicting death risk in the nearby future. 

Artificial intelligence detected heart problems in patients who were cleared from any cardiac issue by professional doctors. These algorithms can predict lung cancer and other chronic diseases more accurately than the medical staff. Professionals and scientists are worried about how artificial intelligence can detect such diseases and how patients can be on medication, depending on the determinations from machine learning algorithms. 

This breakthrough of AI predicting death risk and human deaths within a year is getting popular in these recent years. It only automates rigorous work but can predict early death risk. The University of Nottingham has created an AI-based model to predict premature human deaths. Surprisingly, artificial intelligence predicted more accurate results than any other machine. Being a Silicon Valley giant, Google AI can harness predictive algorithm to detect and predict early death risks, deaths, discharges, and many more. Similarly, the European Cardiology Society also had experimented with the same kind of test with AI. The members utilized a machine learning algorithm known as LogitBoost for analyzing cardiac imaging data from approximately 950 patients from the Turku PET Centre in Finland. 

That being said, it is proved that artificial intelligence can predict early death risk but there are some major concerns among several healthcare professionals. The issue of unconscious and bias in the machine learning algorithms can create a drastic effect on patients who have cardiac problems as well as those who do not. There may be discrepancies among data of white patients, patients of colours, and different genders. AI cannot still mitigate the issues of gender inequality and racism efficiently.  Doctors are concerned because this outcome is a matter of life and death that cannot be compromised for AI algorithms predicting deaths. There are series of medications that needed to be put in patients and if those patients do not need the cure, it will create a drastic effect in bodies. From there, innocent patients can deteriorate more. 

Thus, it is useful to have such cutting-edge technologies in the healthcare sector to help and assist doctors in other work. But for predicting early death risk and human deaths, solely depending on algorithms can possess a huge risk for the healthcare sector.