男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Technology

Future of healthcare could lie in artificial intelligence technology

By Zheng Yiran | China Daily | Updated: 2018-08-07 09:14
Share
Share - WeChat
Doctors from the Second Affiliated Hospital of Zhejiang University School of Medicine in Hangzhou, Zhejiang province, perform an eye operation wearing 3D glasses. [Photo/for China Daily by Lin Yunlong]

China's deployment of artificial intelligence technologies in the healthcare industry will continue to boom in 2018, better serving grassroots medical institutions in particular, according to industry experts.

The country's medical AI industry scale is estimated to reach 20 billion yuan ($2.93 billion) in 2018, surging 53.8 percent year-on-year, according to industry information provider qianzhan.com.

Xie Guotong, chief healthcare scientist at industry leader Ping An Technology, said: "AI is expanding at an exponential rate. The whole AI value chain, from the basic level to the technical and application levels, is full of opportunities. When you combine AI with the nation's trillion-dollar healthcare sector, especially healthcare at the primary (smaller, local-scale) level, there are infinite possibilities."

The National Health Commission's 2017 national healthcare report, issued in June, estimated that last year, the nation's healthcare budget surpassed 5 trillion yuan, accounting for 6.2 percent of GDP. Per capita medical expenses hit 3,712 yuan.

"The figures will continue to rise, leaving heavy burdens for both the public and the government," Xie said.

Another problem is the shortage of medical resources, according to Xie.

"With the advent of the aging population problem and chronic diseases, the number of people going to hospital is rising. Official statistics from the National Health Commission show that currently, total visits to Chinese hospitals per year have reached 8 billion. Meanwhile the growth rate of newly trained doctors isn't matching the growth rate of hospital visits," Xie said.

"However, the introduction of AI is greatly improving the efficiency of hospitals and doctors."

In terms of technology, events such as IBM's man-versus-machine battle and Google's AlphaGo program have proven that machines' search ability, image visual understanding and decision-making capability have reached an unprecedented level, raising the development of AI technology to a relatively mature level.

Ping An Technology has signed strategic partnerships with roughly 100 hospitals and numerous provincial medical administrative departments across China. According to the company, it will continue to broaden its coverage to benefit more hospitals.

After the People's Hospital of Longli county in Southwest China's Guizhou province adopted AI-enabled technology, AI robots scanned more than 4,000 lung image reports within three months, and helped to diagnose over 300 cases involving lung nodules in four months.

Currently, Ping An's AI robots can detect 35 diseases, covering 200 million patients and 600 million potential patients.

"AI robots are processing 15 to 40 percent of the hospitals' image reports. The scanning rate has improved 15 times over, as it takes only one minute for the AI robot to scan the image and generate a diagnostic report," Xie said.

He added that among the nation's 8 billion annual hospital visits, over 50 percent happen in hospitals in second or lower-tier cities, while healthcare professionals in those grassroots level institutions have relatively limited medical knowledge and business training.

"They are in more urgent need of AI-based technologies to help them improve efficiency," he said.

Xiao Fei, a medical analyst at Beijing-based market consultancy Analysys, said that at present, domestic medical resources are inadequate and unbalanced.

"Qualified healthcare resources are mainly located in major hospitals in first-tier cities. Urban residents have access to two to three times the medical human resources that those living in rural areas do. Yet, rural areas contain larger populations," Xiao said.

She said if AI can possess the diagnostic experience of human doctors, the technology can assist doctors, empowering grassroots hospitals.

Ping An Technology's cloud platform achieves all-online, intelligent and real-time control. The platform's smart disease scanning system helps to realize effective disease control.

According to Xie, many doctors initially held doubts about the application of AI in their hospitals.

"Now, they have learned about and experienced medical AI for themselves, their mindsets have changed significantly," Xie said.

Shang Yang, an AI specialist with Beijing-headquartered think tank iyiou.com, said: "China's real demand gap lies in primary hospitals, rather than Grade 3A (higher-tier) hospitals, as the latter have plenty of excellent doctors with more than 10 years of experience. I think the future trend is updated medical AI products being tested in Grade 3A hospitals, and finally applied broadly in those grassroots medical institutions, where there is heavy demand."

Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 潼关县| 纳雍县| 如皋市| 郧西县| 阿拉善左旗| 太谷县| 汤阴县| 门源| 工布江达县| 海宁市| 股票| 沈阳市| 图们市| 泸定县| 鲁山县| 大田县| 临武县| 灌南县| 曲靖市| 马关县| 西贡区| 宁强县| 苍山县| 芦溪县| 洪洞县| 漠河县| 和平区| 西乡县| 龙南县| 收藏| 响水县| 沅陵县| 岳阳县| 盐池县| 当雄县| 秦皇岛市| 溧阳市| 壶关县| 交城县| 绥宁县| 开封市| 珠海市| 北川| 永城市| 肇源县| 祁门县| 崇州市| 临潭县| 五家渠市| 翼城县| 东明县| 土默特左旗| 肇庆市| 鄂州市| 饶阳县| 浮山县| 灌阳县| 通州区| 伽师县| 酒泉市| 舞钢市| 开江县| 彩票| 二连浩特市| 凉山| 百色市| 漳平市| 元阳县| 昆明市| 通州市| 灵山县| 昌平区| 晋宁县| 常山县| 凌云县| 清丰县| 巧家县| 孟连| 景德镇市| 青州市| 夏邑县| 遂昌县|