Lung cancer is one of the malignant tumours with the highest morbidity and mortality rates worldwide today, posing a major threat to human health. Accurate diagnosis and standardised treatment play a crucial role in improving the survival rate of lung cancer patients. In recent years, the rapid rise of artificial intelligence (AI) has brought about significant changes in the medical field, providing a new diagnostic and treatment model for lung cancer, and making a series of breakthroughs in lung cancer diagnostic imaging, pathological diagnosis, surgical oncology, radiotherapy, and drug development and treatment. This article introduces the current status of AI application in the field of lung cancer diagnosis and treatment, and extensively discusses the current challenges and future prospects, hoping to provide references and suggestions for future clinical practice.

Lung cancer is one of the malignant tumours with the highest morbidity and mortality rates worldwide today, posing a major threat to human health. Accurate diagnosis and standardised treatment play a crucial role in improving the survival rate of lung cancer patients. In recent years, the rapid rise of artificial intelligence (AI) has brought about significant changes in the medical field, providing a new diagnostic and treatment model for lung cancer, and making a series of breakthroughs in lung cancer diagnostic imaging, pathological diagnosis, surgical oncology, radiotherapy, and drug development and treatment. This article introduces the current status of AI application in the field of lung cancer diagnosis and treatment, and extensively discusses the current challenges and future prospects, hoping to provide references and suggestions for future clinical practice.

ObjectiveUncommon medicinal herbs are valuable medicinal resources， but their identification is a difficult problem in Chinese medicine due to their particularity and complexity. It is， therefore， urgent to establish a method for the identification of uncommon medicinal herbs. In this study， DNA signature sequence （DSS） tags were used to establish a specific polymerase chain reaction （PCR） identification method for Hibisci Cortex， the origin plant of Hibisci Cortex， and its adulterants. MethodThe candidate DSS tags were obtained from the chloroplast genome sequence analysis， and the DSS tags were verified by DNA sequencing. The specific identification primers for H. syriacus were designed based on the obtained reliable DSS tags. The PCR reaction conditions were optimized， and the tolerance and feasibility were investigated. ResultA DSS tag for identification of H. syriacus was obtained from the comparison of sequencing results of the amplified products with DSS， which revealed the distinguishing characteristics of Hibisci Cortex and its adulterants. A pair of specific primers for H. syriacus was designed according to the DSS tag. After PCR amplification and gel electrophoresis with the primers， a single bright band of about 270 bp was observed from H. syriacus， which did not appear in the four adulterants. ConclusionA DSS tag obtained in this study can be used to identify H. syriacus. The specific primers designed based on this DSS tag can accurately and simply identify the original plant of Hibisci Cortex and its adulterants， which provides a new method and idea for the molecular identification of genuine and counterfeit products of Hibisci Cortex.

Objective To evaluate the efficiency of multimodal analgesia for the patients who had the posterior lumbar spine surgery.Methods Sixty-four cases of patients who were scheduled to the posterior lumbar spine surgery were randomly divided into two groups, multimodal analgesia group (n =32) and control group(n=32).Multimodal analgesia group patients were given oxycodone acetaminophen 1 day before and the next day after operation, during the operation the patients received injiection of multimodal drugs (consisting of ropivacaine 150 mg, flurbiprofen 50 mg, phenylephrine 0.4 ml, normal saline 50 ml) around the incisions by infiltrated injection before the skin incision closed, then had controlled intravenous analgesia.In the control group, the incisions were sutured without the local infiltration analgesia.Then only had patient controlled intravenous analgesia after operati on.Visual analogue scale(VAS) ,Japanese Orthopedic Association(JOA) and Prolo lumbar function score was recorded respectively perioperatively.Results (1) VAS: the patients of multimodal analgesia group had significantly lower rest pain scores and activity pain scores at 6, 12,24 hours, first moving than the control group((3.1±1.6) ,(2.8±1.1),(2.4±0.9) ,(2.3±1.1) vs.(3.5±1.8) ,(3.4± 1.3), (3.4±0.8), (3.0± 1.5), P＜0.05).There was no significant difference at the discharge between the two groups (P＞0.05).(2)JOA:JOA scores of the patients of multimodal analgesia group were obviously higher than that of the control group at 1,3,7 days after operation (P＜0.05).There was no significant difference at the discharge between the two groups (P＞0.05).(3) Prolo lumbar function score : Prolo scores of the patients of the multimodal analgesia group were obviously higher than that of control group at 1,3,7 days after operation (P ＜0.05).There was no significant difference at the discharge between the two groups(P＞0.05).Conclusion Multimodal Analgesia is shown to safely provide excellent pain control and functional recovery.It can reduce visual analogue pain score and improve lumbar function after surgery.