Healthcare Services and Ai

Every system will always have flaws and so is a system which is coherently developed with very good AI.

Healthcare services and AI is probably the most exciting combination that is due by 2030. If it comes off well, then the implications for our future generations could be great. The Study Panel  mentions that for AI to be successful in this domain it has to be accepted by the doctors, nurses and EHR will have to be supported and most importantly, AI will have to gain the patient’s trust. One important point to note is that if AI is introduced in the clinical surgery field or even as an “AI Physician”, the dataset in this field is ever growing and diversifies by the second. Hence, to be able to train a robot to perform a task which appears to be redundant could become fatal because of an unknown variable. Healthcare workers are trained to not only pass the required knowledge criteria but they are also trained on how to deal with circumstances which are completely unforeseen and hence, an “AI Physician”  or a “Clinical robot” could find itself out of depth in this domain. Therefore, AI in this domain will need a much longer period of training and supervision with very large amounts of data before actual practice is started.

The above mentioned category is the most prominent challenges that AI will have to deal with before it can be realized efficiently with people’s trust in any urban city.