University of Nottingham researchers reported that an artificial intelligence tool could predict the day humans will die.
Data of 5,000,000 people were analyzed using the AI tool and was accurate in predicting who will die soon. The researchers showed that their model showed better results compared to that developed by medical doctors.
The UK BioBank provided the data collected for the participants aged 40-69 from 2006 to 2016.
Input factors involved dietary habits, lifestyle differences of participants in the algorithm used for the prediction of the AI tool.
"We have taken a major step forward in this field by developing a unique and holistic approach to predicting a person's risk of premature death by machine-learning. This uses computers to build new risk prediction models that take into account a wide range of demographic, biometric, clinical and lifestyle factors for each individual assessed, even their dietary consumption of fruit, vegetables and meat per day," said Dr Stephen Weng, a University of Nottingham researcher and the lead author of the study in a recent news release.
The study also noted that "machine learning models are more effective in predicting mortality when compared to traditional standard models," according to IB Times.
"We mapped the resulting predictions to mortality data from the cohort, using Office of National Statistics death records, the UK cancer registry and 'hospital episodes' statistics. We found machine-learned algorithms were significantly more accurate in predicting death than the standard prediction models developed by a human expert," added Weng.
Medical professionals are still not sold out with AI as a tool for medical science.
Even though the advent of AI is racking up criticisms from many corners, the future of medical science is
