Raw LLM Responses

Artificial intelligence has some amazing potential benefits in the health care field, with potential efficiency improvements for hospitals, assisting and guiding physicians in patient treatment regimens, as well as the greatest potential of diagnosing a patient. Dr. Navid Saidy discussed some very important complications to consider related to introducing artificial intelligence into the medical practice. Including regulations for medical devices that typically involves a physical device. Yet in the case of artificial intelligence it is a software that evolves and does not involve a static repetitive outcome. Nevertheless if artificial intelligence purpose is to diagnose, give treatment options and prognosis, it’s output has numerous outcomes which can be hard to quantify and therefore hard to regulate. Even as stated in the video the regulations change to allow for more transparency and real time monitoring, there still are risks. One of the main concerns about artificial intelligence is that the data used to create its program is biased. Since humans are the ones collecting the data, and have interpreted the data with some implicit assumptions that are then incorporated in to the system, this bias is then transferred to the artificial intelligence models and can lead to biased resorts in diagnosis/treatment. This is why it is so vital that when assessing these new technologies that the results are accurate. This leads me to a important topic to consider with the implementation of artificial intelligence; that of beneficence. Beneficence is the act of doing good by benefiting the patient more than doing harm. Artificial intelligence has a great potential capacity to reach a current diagnosis with more efficiency which could greatly benefit patients in time sensitive care. However, in the cases where the wrong diagnosis is stated, with confidence by artificial intelligence this could lead to greater harm to the patient. The capacity for AI to state when the answer is unknown and if more testing is needed, is crucial to the application of this technology. These drawbacks need to be critically supervised as artificial intelligence is incorporated into medicine. It is naïve to say that artificial intelligence won’t be a part of medicine in the future. All the same, we need to be careful and diligent in assessing the technology and outcomes for patients. It is important to remember, that part of healing comes from a healing touch and emotional and spiritual connectivity of humans. As technologies become more and more integrated in our society, we must prioritize and preserve our humanity.