The integration of large language models into medical practices is promising significant changes in diagnostic procedures. Patients no longer feel rushed during consultations, as doctors now have the tools to engage in more in-depth discussions about symptoms and medical history. This shift not only improves patient satisfaction but also has the potential to lead to more accurate diagnoses.
However, reliance on LLMs also introduces risks. There are concerns regarding data privacy and the accuracy of AI-generated insights versus traditional methods. As these technologies become more integrated into healthcare, the implications for medical training, the doctor-patient relationship, and overall healthcare delivery must be carefully considered. Addressing these challenges will be crucial to harnessing the full potential of LLMs while minimizing risks to patient care.
👉 Pročitaj original: MIT Technology Review Security
