Intelligent agent empowers correction of pathologically overlooked early lung cancer cases in nodule reporting

The management of pulmonary nodules is gradually shifting from traditional "single image judgment" to "continuous risk management" mode, especially in the fields of ground glass nodules and microinvasive lung adenocarcinoma. The importance of artificial intelligence (AI) and medical GPT assisted decision-making is becoming increasingly prominent. This case presents a typical case where postoperative pathology was successfully corrected through BAIGPT pulmonary nodule intelligent agent evaluation. The patient is a 67 year old female with no smoking history. She visited Professor Bai's AI clinic in July 2025 due to mixed nodules in the left lung. The AI system evaluation showed that the probability of malignancy of the nodule was as high as 88%. Although the first postoperative pathological report indicated "no evidence of malignant tumor", after AI assisted pathological review and molecular testing, it was ultimately confirmed to be microinvasive lung adenocarcinoma. This case suggests that pulmonary nodule intelligent agents not only have the ability to "detect lesions", but are also entering a new stage of "cognition reasoning error correction closed-loop follow-up", which has important clinical value in reducing missed diagnosis of early lung cancer.

Key Words: pulmonary nodule; pathology; agent