Advances in artificial intelligence in thyroid-associated ophthalmopathy.

Thyroid-associated ophthalmopathy (TAO), also referred to as Graves' ophthalmopathy, is a medical condition wherein ocular complications arise due to autoimmune thyroid illness. The diagnosis of TAO, reliant on imaging, typical ocular symptoms, and abnormalities in thyroid function or thyroid-associated antibodies, is generally graded and staged. In recent years, Artificial intelligence(AI), particularly deep learning(DL) technology, has gained widespread use in the diagnosis and treatment of ophthalmic diseases. This paper presents a discussion on specific studies involving AI, specifically DL, in the context of TAO, highlighting their applications in TAO diagnosis, staging, grading, and treatment decisions. Additionally, it addresses certain limitations in AI research on TAO and potential future directions for the field.

Research progress in artificial intelligence assisted diabetic retinopathy diagnosis.

Diabetic retinopathy (DR) is one of the most common retinal vascular diseases and one of the main causes of blindness worldwide. Early detection and treatment can effectively delay vision decline and even blindness in patients with DR. In recent years, artificial intelligence (AI) models constructed by machine learning and deep learning (DL) algorithms have been widely used in ophthalmology research, especially in diagnosing and treating ophthalmic diseases, particularly DR. Regarding DR, AI has mainly been used in its diagnosis, grading, and lesion recognition and segmentation, and good research and application results have been achieved. This study summarizes the research progress in AI models based on machine learning and DL algorithms for DR diagnosis and discusses some limitations and challenges in AI research.

[Design and application of rescue stretcher dedicated for cardiopulmonary resuscitation mechanical compression device].

Continuous chest compressions during the transportation of patients with cardiac arrest have always been a difficult part in the field of pre-hospital emergency cardiopulmonary resuscitation (CPR). How to ensure continuous high-quality chest compressions is an important part of the patient's entire rescue process. At present, mechanical compression devices are commonly used to provide continuous high-quality chest compressions during the transportation. However, the installation process of the mechanical compression device involves posture changes of the patient, the placement of the device base, etc., and it is very likely to affect the continuous high-quality CPR treatment in the pre-hospital emergency process with limited human resources. Therefore, the First Affiliated Hospital of Huzhou University and Huzhou University jointly designed a rescue stretcher dedicated for CPR mechanical compression device, and has obtained the national utility model patent (ZL 2019 2 1005444.9). The main design feature of this stretcher is that the base of the compression device is combined with the stretcher, which eliminates the installation and fixation process of the base during the installation of the mechanical compression device, shortens the installation time. It has certain clinical applications value.

A temporary-sustainable team: A new multidisciplinary team model for severe trauma.

The treatment of severe trauma, especially multiple injuries, requires multidisciplinary collaboration. The current study aims to highlight the challenges of consultation mode for severe trauma in general hospitals and emphasizes the need to create a new temporary-sustainable team. It suggests developing an information consultation mode and enforcing the fine management to improve the quality and safety of the medical treatment. The management mode of a temporary-sustainable team will reduce the cost and improve the treatment efficiency. Overall, a temporary-sustainable team has significant advantages over a traditional multidisciplinary team for severe trauma treatment.