AI in medicine
AI’s are now diagnosing skin cancer more accurately than experts. An AI was more accurate than 58 skin professionals - artificial intelligence is capable of reducing the figure of false positives. AI can also assist with: drug development, knowing when someone in a coma will wake, read CT recognise depression and an increase in robot doctors.
Google DeepMind teamed up with Moorfields Eye hospital in order to work on diagnosing major eye problems. The use of the AI will aid in the quick diagnosis.
Furthermore in a Chinese trail, an AI system strategically trained for brain scans came up with a different result from surrounding doctors. The AI got approximately 90% of its diagnosis right by merely tracing brain activity that is impossible for the human eye to see such as small changes in blood flow. The system has helped diagnose over 300 people.
Moreover, radiologists around the world are having to inspect masses of images daily in order to detect illnesses. IBM are developing an AI system made to assist radiologists by going through images with a fine-tooth comb and comparing them to other data collected of the patient.
More than 300 million people are sufferers of depression according to the World Health Organisation. A company named MindStrong have created a technology that analyses how people use their smartphones in order to generate that information to pick up on signs of depression along with other health issues. Their technology studies examine how people scroll, tap and click through their phone in order to predict a range of moods and cognitive traits.
A Woebot was created following the cognitive principals of behavioural therapy and was showed to be essential in treating depression.
Researchers in China tested an AI robot called iFlyTek Smart Doctor Assistant which had immersed various medical books, millions of medical records and articles thus passing the medical license exam achieving a result of 456 with the required pass rate being 360. The AI is to start assisting doctors and attend to patients.
Many engineers may be in fear of jobs being taken over by robots due to the reinvention of the assembly line – machinery can replicate merely every aspect a human can do on the assembly line. Integrating hardware and software has led to robots being able to perform tasks involving precision. The rise of artificial intelligence doesn’t however have a direct correlation to jobs but instead may lead to progressive outcomes on our society as we know it.
It will be jobs becoming redundant, not the labourers.
DECEMBER 2018 | MANE ENGINEERING & MANUFACTURING | 9