AI Artificial intelligence in Medical Field healthcare
emerging technology. Especially now that the likes of Google and Amazon
have bought in their AI bots allowing you to ask what the weather is, what's on your calendar or remind you to steer the dog. However there are much more serious uses for AI and therefore the medical field is leading the technology march.
Imagine you had a number one surgeon, you'd want them to show as many up and coming surgeons as possible. AI makes this possible because the top surgeon's skills are often programmed into an AI programme which will be used for training purposes. How about practicing these skills learnt? Again AI combined with computer game will enable a training student to practice operating in real time, with AI feeding back suggestions also as running scenarios good and bad.
However AI is additionally helping out on the more mundane areas of the health service. From simple situations like managing appointments to far more complex support environments like research information, AI is supporting, improving and assisting the medical field.
So how does AI improve such, what might be on the face of it, reasonably simple solutions? to start out we'd like to research the facility of AI.
At its simplest terms AI is defined as software that thinks and makes decisions during a similar manner to the human brain. once you consider that the human brain doesn't even understand how it works, that would on the face of it's a brave definition. once you also consider that AI has been around and in use for a minimum of 20 years but it's only within the previous couple of years it's begun to be very useful, it becomes a challenging definition. Despite what many fantasy books and films state, AI isn't set to require over the planet , but rather become a supporting environment.
So we get to the definition that AI can add an equivalent way because the human brain, react to situations and produce life like scenarios and responses. Also if you think that of the likes of Siri and Alexa, it can produce realistic answers to an outsized number of questions that are answered in various manners. However anyone who has despaired of getting Siri to answer the question you've got actually asked, there are still limitations.
So what's within the future for medical uses of AI? Well to clarify first, there are companies like John Snow Labs, the 2018 AI solution provider winner, that are at the leading edge of AI research which future is rapidly progressing and coming closer.
Bringing life changing drugs to plug has always been an extended drawn out and dear process. AI can't only support the processes involved but also assist working way through the analysis produced, making life like, human like decisions so as to shorten searches and decisions. Now obviously there must be a final human decision, but decision paths are shorter.
So how is machine learning becoming so useful?
At its most elementary machine learning is skilled at running many algorithms during a short time-frame and providing the resulting conclusions to the human operator for his or her review and decision. the sweetness is that this speed of testing algorithms is vastly quicker than the human brain can undertake.
The second major difference to normal powerful processing software is, that AI or machine learning software can use these algorithms to find out from the patterns then create its own logic. Within medical research these algorithms are tested many many times until consistent results are produced. These results are then turned over to the medical professional to form the human decision supported the AI research.
When you check out such areas as medical research where there are thousands of various possible outcomes and even more variables, combined with a healthy clutch of things which will fail , it's easy to ascertain why machine learning programmes are so welcomed by the medical field.
When watching medical treatment, it's the myriad of things which will wrong where machine learning involves the fore. Often combined with computer game (VR) realistic operations are often found out , enabling the surgeon to practice their skills without worrying of injuring or maybe killing the patient. The surgeon can practice the guts transplant numerous times with the AI providing multiple scenarios supported the surgeon's activities until they're confident enough to undertake the operation on a true live person.
Using similar scenarios, treatment research are often tried and tested until an appropriate new treatment has been found, with the AI suggesting differing methods, outcomes and problems because the surgeons work.
For new surgical techniques AI really involves the fore, testing thousands, if not many different scenarios and outcomes with even more problems which will arise, all safely within a recorder and faraway from the patient.
Imagine you had a number one surgeon, you'd want them to show as many up and coming surgeons as possible. AI makes this possible because the top surgeon's skills are often programmed into an AI programme which will be used for training purposes. How about practicing these skills learnt? Again AI combined with computer game will enable a training student to practice operating in real time, with AI feeding back suggestions also as running scenarios good and bad.
However AI is additionally helping out on the more mundane areas of the health service. From simple situations like managing appointments to far more complex support environments like research information, AI is supporting, improving and assisting the medical field.
So how does AI improve such, what might be on the face of it, reasonably simple solutions? to start out we'd like to research the facility of AI.
At its simplest terms AI is defined as software that thinks and makes decisions during a similar manner to the human brain. once you consider that the human brain doesn't even understand how it works, that would on the face of it's a brave definition. once you also consider that AI has been around and in use for a minimum of 20 years but it's only within the previous couple of years it's begun to be very useful, it becomes a challenging definition. Despite what many fantasy books and films state, AI isn't set to require over the planet , but rather become a supporting environment.
So we get to the definition that AI can add an equivalent way because the human brain, react to situations and produce life like scenarios and responses. Also if you think that of the likes of Siri and Alexa, it can produce realistic answers to an outsized number of questions that are answered in various manners. However anyone who has despaired of getting Siri to answer the question you've got actually asked, there are still limitations.
So what's within the future for medical uses of AI? Well to clarify first, there are companies like John Snow Labs, the 2018 AI solution provider winner, that are at the leading edge of AI research which future is rapidly progressing and coming closer.
Bringing life changing drugs to plug has always been an extended drawn out and dear process. AI can't only support the processes involved but also assist working way through the analysis produced, making life like, human like decisions so as to shorten searches and decisions. Now obviously there must be a final human decision, but decision paths are shorter.
So how is machine learning becoming so useful?
At its most elementary machine learning is skilled at running many algorithms during a short time-frame and providing the resulting conclusions to the human operator for his or her review and decision. the sweetness is that this speed of testing algorithms is vastly quicker than the human brain can undertake.
The second major difference to normal powerful processing software is, that AI or machine learning software can use these algorithms to find out from the patterns then create its own logic. Within medical research these algorithms are tested many many times until consistent results are produced. These results are then turned over to the medical professional to form the human decision supported the AI research.
When you check out such areas as medical research where there are thousands of various possible outcomes and even more variables, combined with a healthy clutch of things which will fail , it's easy to ascertain why machine learning programmes are so welcomed by the medical field.
When watching medical treatment, it's the myriad of things which will wrong where machine learning involves the fore. Often combined with computer game (VR) realistic operations are often found out , enabling the surgeon to practice their skills without worrying of injuring or maybe killing the patient. The surgeon can practice the guts transplant numerous times with the AI providing multiple scenarios supported the surgeon's activities until they're confident enough to undertake the operation on a true live person.
Using similar scenarios, treatment research are often tried and tested until an appropriate new treatment has been found, with the AI suggesting differing methods, outcomes and problems because the surgeons work.
For new surgical techniques AI really involves the fore, testing thousands, if not many different scenarios and outcomes with even more problems which will arise, all safely within a recorder and faraway from the patient.
Post a Comment