Intelligent Verification Tool for Surgical Information of Ophthalmic Patients-A Study Based on Artificial Intelligence Technology.

Objective: With the development of day surgery, the characteristics of "short, frequent and fast" ophthalmic surgery are becoming more prominent. However, nurses are not efficient in verifying patients' surgical information, and problems such as patient privacy leakage are becoming more prominent. To improve the situation, we developed a new augmented reality (AR)-based tool for visual recognition and artificial intelligent (AI) interpretation of the pattern and location of patient surgical skin markings for the verification of the correct surgical site and procedure.

AR-AI assisted ophthalmic nursing: Preliminary usability study in clinical settings.

Objective: Ophthalmic ward nursing work is onerous and busy, and many researchers have tried to introduce artificial intelligence (AI) technology to assist nurses in performing nursing tasks. This study aims to use augmented reality (AR) and AI technology to develop an intelligent assistant system for ophthalmic ward nurses and evaluate the usability and acceptability of the system in assisting clinical work for nurses.

Methods: Based on AR technology, under the framework of deep learning, the system management, functions, and interfaces were completed using acoustic recognition, voice interaction, and image recognition technologies.

Improve the efficiency and accuracy of ophthalmologists' clinical decision-making based on AI technology.

Background: As global aging intensifies, the prevalence of ocular fundus diseases continues to rise. In China, the tense doctor-patient ratio poses numerous challenges for the early diagnosis and treatment of ocular fundus diseases. To reduce the high risk of missed or misdiagnosed cases, avoid irreversible visual impairment for patients, and ensure good visual prognosis for patients with ocular fundus diseases, it is particularly important to enhance the growth and diagnostic capabilities of junior doctors.

lncRNA WT1-AS attenuates hypoxia/ischemia-induced neuronal injury during cerebral ischemic stroke via miR-186-5p/XIAP axis.

This study aimed to investigate the role and mechanism of long non-coding RNA (lncRNA) WT1 antisense RNA (WT1-AS) in cerebral ischemic stroke. The Starbase database and dual-luciferase reporter gene assay were used to analyze the interaction between lncRNA WT1 antisense RNA (lncRNA WT1-AS) and microRNA-186-5p (miR-186-5p). Reverse transcription-quantitative PCR analysis was performed to determine lncRNA WT1-AS and miR-186-5p levels.

[Potential regulatory role of long non-coding RNA-microRNA-mRNA axis in sepsis].

Sepsis is a life-threatening multiple organ dysfunction disease with high mortality and has become leading causes of death affecting intensive care unit (ICU) patients. Both long non-coding RNA (lncRNA) and microRNA (miRNA) are involved in the pathophysiological process of sepsis and can regulate the inflammatory response, both of which could be used as important diagnostic indicators and therapeutic targets of sepsis. The interaction among lncRNA, miRNA and mRNA plays an important role in sepsis and multiple organ dysfunction.

Visual requirement for Chinese reading with normal vision.

Objectives: Reading performance has been considered as an effective functional endpoint for low vision. Contrary to many extensive studies for reading performance in English, there are few systematic studies for Chinese reading.

Methods: In the present study, the reading performance of 30 normally sighted Chinese college students was systematically investigated.

[The key parameters of design research and analysis of the Chinese reading visual acuity chart].

Objective: Reading is a visual function human being used to understand environmental events based on writing materials. This study investigated the feasibility of reading visual acuity chart in assessment of reading ability by analysis of the key factors involved in the design of the visual acuity chart.

Methods: The reading level was determined as grade 3 primary school with Song as the font and 30 characters included in the sentences.