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.

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.

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.