Dora Villanueva
“Hello. I have a fever, headache, but no respiratory symptoms, what could this be? What is the most common type of medication in this situation?
This vague question is left to the best-known generative AI platforms, which are trained to interact via text messages without any scientific or disciplinary expertise.
When chatting in GPT, you must first be polite:
“I’m sorry to hear that you are not feeling well; Circle the limitations and scope of entering the medical field: It is important that you understand that I am not a doctor and I cannot provide you with a precise diagnosis, but the symptoms you mentioned, Fever and headaches, for example, can be caused by a variety of viral or bacterial illnesses, such as the flu, the common cold, or even bacterial infections, such as strep throat.”
In all possible ranges, the language model can identify:
“Since I have no information about your medical history and cannot perform a physical examination, I recommend that you consult a physician or health care professional to obtain the proper diagnosis and treatment for your condition. However, for relief of fever and headache symptoms, people Take regular over-the-counter medications such as paracetamol or ibuprofen; rest and staying hydrated are also important.”
Still, advice and guidance on using over-the-counter medications for self-treatment are offset by one last exhortation:
“Please remember that this information is not a substitute for professional medical advice. “I urge you to seek medical help for proper assessment and personalized advice. ” Finally, Chat GPT again left a trace of empathy: “ I hope you get well soon. “
The accelerated development of generative AI systems has also expanded discussions about their scope, the economic sectors they can integrate into, and the jobs they will replace. One such application is already in the field of medicine, where various tools are already in use, especially to replace administrative work, but also have some uses, especially in the field of imaging, aimed at speeding up diagnosis.
As in other fields, advances in artificial intelligence (AI) in healthcare are driven by its ability to take a set of unstructured data and make sense of it. Lay applications like ChatGPT attempt to provide concise information about the possible causes of a condition, common medications for the condition, and other common treatment recommendations.
However, big tech companies like Google, Microsoft, and Amazon have artificial intelligence systems that started out as chatbots and assistants that process medical records, with the express purpose of being used in the medical field. Some niche developments are also progressing in databases of anonymized patient medical information to help determine diagnoses.
