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.

Passive leg raising is widely used in clinic, but it lacks of specialized mechanical raise equipment. It requires medical staff to raise leg by hand or requires a multi-functional bed to raise leg, which takes time and effort. Therefore we have developed a new medical electric leg-raising machine. The equipment has the following characteristics: simple structure, stable performance, easy operation, fast and effective, safe and comfortable. The height range of the lifter is 50-120 cm, the range of the angle of raising leg is 10°-80°, the maximum supporting weight is 40 kg. Because of raising the height of the lower limbs and making precise angle, this equipment can completely replace the traditional manner of lifting leg by hand with multi-functional bed to lift patients' leg and can reduce the physical exhaustion and time consumption of medical staff. It can change the settings at any time to meet the needs of the patient;can be applied to the testing of PLR and dynamically assessing the hemodynamics; can prevent deep vein thrombosis and some related complications of staying in bed; and the machine is easy to be cleaned and disinfected, which can effectively avoid hospital acquired infection and cross infection; and can also be applied to emergency rescue of various disasters and emergencies.

Objective To evaluate multi-slice three-dimensional CT angiography (MS 3D-CTA) for the follow-up of intracranial aneurysm clipping.Methods MS 3D-CTA of 16 patients with intracranial aneurysm clipping were retrospectively analyzed.The patients were scanned on a 16-slice spiral CT(GE Lightspeed pro).Volume rendering(VR),thin maximum intensity projection(thin MIP) and multi-planar reconstruction (MPR) were employed in image postprocessing in all cases.Results There were 17 clips in the 16 patients with aneurysm clipping.Six clips were located at the posterior communicating artery,5 at the anterior communicating artery,4 at the middle cerebral artery,and the remaining 2 clips were located at the pericallosal artery in 1 patient.There were no abnormalities found in the aneurysm clipping region in 7 cases by MS 3D-CTA.There were residual aneurysm in 2 cases,parent artery stenosis in 4 cases,and artery spasm in 3 cases.There was no parent artery occlusion and clip displacement in all cases.VR showed excellent 3D spacial relations between the clip and parent artery in 12 cases,and showed good relations in 3 cases.The 1 case with 2 clips in the pericallosal artery showed heavy beam-hardening artifacts.The size and shape of aneurysm clips were clearly depicted by MPR and thin MIP,while 3D spacial relation of aneurysm clip and parent artery were poorly showed.Conclusion MS 3D-CTA is a safe and efficient method for the follow-up of intracranialaneurysm clipping.Combined VR with MPR or thin MIP can well reveal postoperative changes after aneurysm clipping.