公司簡介：

蘇州復(fù)變醫(yī)療科技有限公司致力于人工智能技術(shù)在醫(yī)療行業(yè)的應(yīng)用。公司為國內(nèi)外臨床醫(yī)療機(jī)構(gòu)提供智能、易用的臨床解決方案和云端人工智能產(chǎn)品。目前公司長期與國內(nèi)外知名高校實(shí)驗(yàn)室合作，擁有醫(yī)學(xué)與人工智能專業(yè)交叉的碩博研發(fā)團(tuán)隊(duì)，涉及臨床科室包括體檢、婦科、骨科、心內(nèi)、心外等二級科室。復(fù)變醫(yī)療希望通過人工智能技術(shù)為國內(nèi)外醫(yī)療服務(wù)機(jī)構(gòu)提供創(chuàng)新的醫(yī)療信息化、智能化解決方案，為患者及醫(yī)療工作人員創(chuàng)造真實(shí)的價(jià)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.

展品范圍：

復(fù)變云愈心理測評系統(tǒng)是利用人工智能技術(shù)輔助診斷抑郁障礙患者病情的一款軟件。軟件會根據(jù)患者回答問題時(shí)的聲音和表情，結(jié)合語音識別技術(shù)、圖像微表情識別、NLP自然語言理解、聲音特征提取分析等人工智能技術(shù)，對患者面診全過程的面部表情、語言表達(dá)、聲音特征、語音語調(diào)進(jìn)行多維度全面分析，綜合判斷受檢者處于正常/抑郁/焦慮狀態(tài)，并分析其病情的嚴(yán)重程度，給出適當(dāng)?shù)慕ㄗh。本軟件不僅可以輔助用戶篩查自己的抑郁傾向，同時(shí)可為醫(yī)院精神科醫(yī)生減輕門診工作量，提高問診效率，從而提高門診接單日接診量。此外，還可幫助學(xué)校進(jìn)行全覆蓋抑郁癥篩查，有效評估學(xué)生心理狀態(tài)，及早采取預(yù)防措施，減少校園抑郁障礙病發(fā)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.