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.