Open Access
bai.chunxue@zs-hospital.sh.cnCorresponding author. BAI Chunxue. Tel: 021‑64041990, E‑mail: bai.chunxue@zs‑hospital.sh.cn
Received September 22, 2024; Accepted September 30, 2024; Published September 30, 2024
Open Access
bai.chunxue@zs-hospital.sh.cnCorresponding author. BAI Chunxue. Tel: 021‑64041990, E‑mail: bai.chunxue@zs‑hospital.sh.cn
Received September 22, 2024; Accepted September 30, 2024; Published September 30, 2024
Modern medicine’s comprehensive management of pulmonary nodules primarily focuses on imaging screening, pathological diagnosis, and intervention for nodules with confirmed malignant pathology. However, there is a lack of effective treatment interventions for populations with insufficient imaging diagnostic evidence or who do not currently meet the indications for pathological biopsy. Integrating artificial intelligence, particularly GPT, into healthcare can revolutionize patient management by providing continuous personalized support. This real-world based research proposal aims to assess whether GPT-based consultations can improve pulmonary nodule management and patient satisfaction compared to traditional consultations. By placing artificial intelligence in the context of early lung cancer screening, this study hopes to fill the current gaps in pulmonary nodule management practices and offer scalable personalized solutions.
Key Words: pulmonary nodules; generative pre-trained transformer; real-world research
ISSN: 3006-4236
Volume 1, Issue 3
September 2024
Pages: 1-64