The potential and challenges of GPT empowering cold diagnosis and treatment

GPT is demonstrating great potential in the medical field, especially in the diagnosis and treatment of colds. Its application not only improves the efficiency of diagnosis and treatment, but also enhances patient education and promotes the popularization and improvement of medical knowledge. In terms of cold diagnosis and treatment, GPT can automatically and intelligently analyze patients’ symptoms and quickly provide initial diagnostic suggestions, which is conducive to reducing the workload of doctors. Meanwhile, it can also generate easily understandable educational content to help patients gain a deeper understanding of their conditions, treatment plans and preventive measures. This personalized educational approach, combined with interactive learning and multi-channel dissemination, has greatly enhanced the health literacy of patients. GPT also plays an important role in the diagnosis and treatment of colds. Patients can obtain initial diagnostic suggestions by interacting with GPT to describe their symptoms, providing a strong reference for medical treatment. In addition, GPT can also recommend treatment plans based on the patient's condition, including medication, rest and dietary adjustments, etc. For patients with mild symptoms, GPT can also conduct remote monitoring, promptly alert them of changes in their condition, and provide management suggestions. However, the application of GPT in the medical field also faces challenges. Data privacy and security are the top priorities. It is essential to ensure the encryption and desensitization of patient data. Although GPT has certain application potential, its diagnostic accuracy still cannot be compared with that of experienced doctors. In addition, legal and ethical issues cannot be ignored. For instance, medical liability and informed consent of patients need to be further clarified. To address these challenges, it is necessary to enhance data protection, improve the diagnostic accuracy of the GPT model, and conduct reviews in combination with doctors’ experience. At the same time, relevant laws, regulations and ethical norms should be established and improved, key issues should be clarified, supervision and evaluation should be strengthened to ensure the compliant application of GPT in the medical field.

Key Words: generative pre-trained transformer GPT; artificial intelligence; cold