Artificial intelligence(AI)can help improve the accuracy and efficiency of medical imaging diagnosis,but training models needs a large amount of image data to be annotated,also faces problems such as domain shift.Using domain adaptive methods can train efficient models based on a small amount of annotated data.The research progresses of domain adaptive methods for medical imaging were reviewed in this article.

Objective? To summarize the nursing experience for 6 patients receiving wireless pacemaker implantation. Methods? The nursing experience for 6 patients who received wireless pacemaker implantation for the first time in Beijing Anzhen Hospital, Capital Medical University from August to October 2018. The nursing highlights included preoperative nursing, operative nursing, postoperative monitoring, nursing, follow-up and education. Results? 2 of the 6 patients sustained atrial fibrillation combined with long pause, and 4 sustained atrionector lesion combined with incidental long pause. The threshold value and perception of pace-making was sound and the impedance was ideal during operation. No complication was found during and post operation. The surgical time for implanting wireless pacemakers was short and the patients' appearance was not affected. Their mental burden was relatively light. Nursing procedures were simpler than the those for traditional pacemakers. Conclusion? Wireless pacemakers reduce airbag and wire-related complications and is promising in clinical use. But nursing experience needs to be observed clinically and summarized.