Another one of my arguments was that the aid of artificial intelligence could improve the precision of many medical procedures, such as surgeries. This argument is supported by the source Artificial intelligence and the future of medicine, which was written by Strait in 2018. The link to this source can be found at https://medicine.wustl.edu/news/artificial-intelligence-and-the-future-of-medicine/.
A counter-argument to this could be that the use of artificial intelligence in medicine is unnecessary because for many years, doctors have been performing procedures well enough without it. But it’s also important to note that all fields are constantly evolving, especially fields pertaining to the sciences. Therefore, if there’s a way for doctors to perform procedures with more ease and that simultaneously causes less discomfort to the patient, why should we not take it? Additionally, many kinds of tests are starting to be done with artificial intelligence, and these tests can help diseases be diagnosed earlier so that treatment can begin sooner and the survival rate increases.
Yet another one of my arguments was that data collected by researchers in clinical studies in recent years is enough to improve the function of artificial intelligence by a long shot. Since we are continuously learning and new data is continuously being collected, artificial intelligence will only continue to improve, if we let it. This argument is supported by the source Artificial intelligence in healthcare: past, present and future, which was written by Jiang et al. in 2017. The doi for this source is doi: 10.1136/svn-2017-000101.
A counter-argument to this could be that more data should be collected before we let artificial intelligence deal with something as valuable as human lives. But there’s a problem with that, since all technology has to start from somewhere. It first has to be implemented for us to be able to study it and know how to improve it. So, it’s a better idea, and more beneficial in the long run, for it to be implemented in certain procedures now so data can be collected. Practitioners could also start with implementing it in relatively safer and easier procedures first, and then moving on to more difficult ones as they collect more data and improve the technology.