Artificial Intelligence is rapidly turning data into knowledge and most industries are already aligning themselves to streamline their processes by incorporating AI. Even though it can be considered off pudding you can excuse AI for making mistakes in non-essential situations. The sky will not come down if Google nest doesnt play your favourate playlist for example. The world won’t come
to a standstill if AI misses out on your Google search. These kinds of applications might sound inconsequential and for good reason might not attract much attention but what happens if AI goes wrong in the medical field?
This can be disastrous and catastrophic. It could end up costing even human lives. Conversely, correct use of AI would be extremely beneficial to the extent of saving lives that would otherwise be lost. That’s the reason why there needs to be a balance between embracing and advancing new AI technologies in the medical field while ensuring people’s safety while doing it. This explains why there is lots of bureaucracy around this issue and sometimes may seem to be slowing down medical innovation but I would insist it’s better to be slow but sure.
Currently, AI is applied to assist healthcare professionals in making clinical decisions including diagnosis, treatment, and interpreting medical imaging such as X-rays, CT scans, and MRIs.In the future, however, we might see Artificial intelligence being used more aggressively including in theater rooms. As we have experienced from the last few years there is no predictability of how far the capability of AI can go and therefore, we shouldn’t rule out anything.
A recent research development by Washington State University for example gave a glimpse on the future use of AI in medical technology. In a recent report, WSU researchers have developed a technique known as Bayesian Optimization. This is a technique that uses AI to seamlessly print 3-D complex structures including life-like human organs. From the reporting, the algorithm learned to identify and later print the best version of the kidney and prostrate organ models.
If this innovation comes to life, then it can be used to print human models that can be used to train surgeons to evaluate implant devices. This kind of breakthrough will give way to the use of 3-D printing for even more sophisticated structures. Look we are just getting started folks and you can’t rule anything out when it comes to the capabilities of AI.
