公司简介：

苏州复变医疗科技有限公司致力于人工智能技术在医疗行业的应用。公司为国内外临床医疗机构提供智能、易用的临床解决方案和云端人工智能产品。目前公司长期与国内外知名高校实验室合作，拥有医学与人工智能专业交叉的硕博研发团队，涉及临床科室包括体检、妇科、骨科、心内、心外等二级科室。复变医疗希望通过人工智能技术为国内外医疗服务机构提供创新的医疗信息化、智能化解决方案，为患者及医疗工作人员创造真实的价值。

Company Profile：

Fubian medical tech committed to the application of artificial intelligence technology in the medical industry. The company provides intelligent and easy-to-use clinical solutions and cloud artificial intelligence products for clinical medical institutions at home and abroad. At present, the company has long-term cooperation with well-known university laboratories at home and abroad, and has a master-doctoral research and development team that intersects medicine and artificial intelligence. It involves clinical departments including physical examination, gynecology, orthopedics, intracardiac, extracardia and other secondary departments. Fubian hope to provide innovative medical information and intelligent solutions for domestic and foreign medical service institutions through artificial intelligence technology, and create real value for patients and medical staff.

展品范围：

复变云愈心理测评系统是利用人工智能技术辅助诊断抑郁障碍患者病情的一款软件。软件会根据患者回答问题时的声音和表情，结合语音识别技术、图像微表情识别、NLP自然语言理解、声音特征提取分析等人工智能技术，对患者面诊全过程的面部表情、语言表达、声音特征、语音语调进行多维度全面分析，综合判断受检者处于正常/抑郁/焦虑状态，并分析其病情的严重程度，给出适当的建议。本软件不仅可以辅助用户筛查自己的抑郁倾向，同时可为医院精神科医生减轻门诊工作量，提高问诊效率，从而提高门诊接单日接诊量。此外，还可帮助学校进行全覆盖抑郁症筛查，有效评估学生心理状态，及早采取预防措施，减少校园抑郁障碍病发率。

Product range：

Fubian YUNYU system is a software that uses artificial intelligence technology to assist in diagnosing the condition of patients with depression. According to the voice and expression of the patient when answering the question, the software combines artificial intelligence technology such as speech recognition technology, image micro-expression recognition, NLP natural language understanding, voice feature extraction and analysis, and analyzes the facial expression, language expression, and voice of the patient during the whole process of face-to-face consultation. A comprehensive multi-dimensional analysis of characteristics and tone of voice is carried out to comprehensively judge that the subject is in a normal/depressive/anxious state, analyze the severity of his illness, and give appropriate suggestions.This system can not only assist users in screening their own depression tendency, but also can reduce outpatient workload for hospital psychiatrists and improve the efficiency of consultation, thereby increasing the number of outpatient visits per day. In addition, it can also help schools conduct full coverage depression screening, effectively assess students’ mental state, and take preventive measures as early as possible to reduce the incidence of depression on campus.