- April 2, 2019
- Posted by: admin
- Category: Uncategorized
AI Big Data-We are drowning in data that’s supposed to help us. The big data revolution has come from inexpensive data storage and automated data collection, giving organizations exponentially more data than they had in the past. From business logic data like computer log files to detailed weather patterns, purchasing data to TV viewing, we have access to so much data on how the world works and about the lives and habits of individuals.
A lot of this data is just sitting in warehouses, either real or virtual, being ignored or occasionally examined for trends. It’s just too much for people to handle.
When it comes to healthcare, advanced new diagnostic techniques mean that more information is collected about patients than ever before.
Doctors can’t and don’t ignore new information about their patients. Once a diagnostic option is possible and accessible, they then use it to save lives. In the case of CTs and MRIs, for example, these once-rare diagnostic tools used only in the most complicated of cases, are now routine. As CTs and MRIs themselves become more accurate, they now take more images of each person per exam, too. A recent study found that the average CT exam took 82 images of a patient in 1999; by 2010, this number had risen to 679 per patient, a 730 percent increase.
That’s good news for patients, who can get more accurate diagnoses. But it puts a huge strain on radiologists. Thanks to the digitization of medical devices, radiology professionals are having to sift through far more data. The same study revealed that the average radiologist has to interpret one image every three to four seconds in order to keep up with their demanding workload.
One response to this new workload is, of course, to hire more radiologists. But radiologists are doctors, and it takes time to train them with their highly-specialized skills. Even then, there’s a scaling issue. Say we’re capturing 50 times more images than 30 years ago. Clearly, training and hiring 50 times more radiologists isn’t a viable option!
Read More Here
Article Credit: TNW
The post How AI will save us from the mess of big data appeared first on erpinnews.