Open Access
bai.chunxue@zs-hospital.sh.cnCorresponding author. BAI Chunxue. Tel: 021‑64041990, E‑mail: bai.chunxue@zs‑hospital.sh.cn
Received March 15, 2024; Accepted March 25, 2024; Published March 28, 2024
Open Access
bai.chunxue@zs-hospital.sh.cnCorresponding author. BAI Chunxue. Tel: 021‑64041990, E‑mail: bai.chunxue@zs‑hospital.sh.cn
Received March 15, 2024; Accepted March 25, 2024; Published March 28, 2024
Medical GPT, as a significant application of artificial intelligence technology in the healthcare field, has been explored in various areas, including medical imaging analysis, electronic medical record interpretation, disease prediction and diagnosis, and health management, demonstrating considerable potential for application. By using deep learning and natural language processing technologies, medical GPT can process and analyze vast amounts of medical literature and clinical data, thereby acquiring robust medical knowledge and reasoning capabilities. Current researches indicates that medical GPT has extensive application prospects in areas including intelligent diagnosis, health management, medical image analysis, drug research and optimization, and medical education and training. However, despite continuous technological advancements, the development of medical GPT still faces challenges in terms of data quality, privacy protection, security, and ethical regulations. Future development will require striking a balance between technological innovation and ethical regulations to ensure that medical GPT can evolve stably and healthily, bringing further innovation and value to the healthcare.
Key Words: medical GPT; natural language processing; data security