New artificial intelligence can predict your time of death!
| Updated: Jan 23, 2018, 10:45 IST
Would you like to know when your time on Earth is done? Well, for all of you who would, a new artificial intelligence can predict it for you. And no it's not just any prediction but one that has now proven to be accurate with a very high rate and experts are hoping that the algorithm could come in handy to treat terminally ill patients.
The programme, developed by researchers at Stanford University, gives correct readings 90 percent of the time and is expected to be rolled across hospitals too. In order to get the most accurate readings, the researchers analysed records from 1,60,000 patients from Stanford and Lucile Packard Children's hospital. These files were perused for information on past diagnoses, procedures and treatments offered and after a thorough analysis of all the details collected, the algorithm was put together by the scientists.
Anand Avati from Stanford University's AI Lab revealed why the technology had proven to be so successful. He said, "The scale of data available allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific". Kenneth Jung, a scientist at Stanford University, explained, "We think that keeping a doctor in the loop and thinking of this as 'machine learning plus the doctor' is the way to go as opposed to blindly doing medical interventions based on algorithms... that puts us on firmer ground both ethically and safety-wise."
The programme, developed by researchers at Stanford University, gives correct readings 90 percent of the time and is expected to be rolled across hospitals too. In order to get the most accurate readings, the researchers analysed records from 1,60,000 patients from Stanford and Lucile Packard Children's hospital. These files were perused for information on past diagnoses, procedures and treatments offered and after a thorough analysis of all the details collected, the algorithm was put together by the scientists.
Anand Avati from Stanford University's AI Lab revealed why the technology had proven to be so successful. He said, "The scale of data available allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific". Kenneth Jung, a scientist at Stanford University, explained, "We think that keeping a doctor in the loop and thinking of this as 'machine learning plus the doctor' is the way to go as opposed to blindly doing medical interventions based on algorithms... that puts us on firmer ground both ethically and safety-wise."