国产av不卡一区二区_欧美xxxx做受欧美_成年人看的毛片_亚洲第一天堂在线观看_亚洲午夜精品久久久中文影院av_8x8ⅹ国产精品一区二区二区_久久精品国产sm调教网站演员_亚洲av综合色区无码一二三区_成人免费激情视频_国产九九九视频

Global EditionASIA 中文雙語Fran?ais
Africa

Bright prospects for AI in medical care

By Lai Maode | China Daily Africa | Updated: 2017-11-10 08:42
Share
Share - WeChat

Doctors will play an important role in facilitating applications, but multidisciplinary cooperation is crucial

Application of artificial intelligence technology in the medical care sector has bright prospects, and it will play a great role in assisting doctors with diagnosis and treatment. But two preconditions must be met before mature diagnosis-aiding systems can be created in China.

First, the reliability of medical data should be improved. To realize AI-assisted diagnosis, standard diagnosis and treatment procedures for each disease should be established through multidisciplinary cooperation to produce data that meet standards. The major reason that many AI-assisted diagnosis products fail to work effectively is lack of reliable data.

In many hospitals in China, data is not intact. Due to differences in medical apparatus and staff skills at different hospitals, a patient may get different test results at different hospitals for the same test. On the other hand, the disease process is dynamic. Results of the same test are also different at different points in time. In addition, in many big hospitals, doctors are very busy and it is difficult for them to carefully record all patients' data, which can greatly reduce the completeness and reliability of data.

Second, a unified medical care platform should be created. For the present, regarding AI application in medical care, we have little problem in technologies and we can design medical solution plans, but we lack a unified platform that connects different hospitals for information sharing.

Currently, each public hospital on the Chinese mainland has its own information system, and without a unified platform that covers all hospitals, data stored in different hospitals cannot be shared. In comparison, in Hong Kong, all public hospitals use the same information system and share patient records. So intervention by the government is needed to establish such a platform on the Chinese mainland.

I think AI can be applied in medical care in the following four areas:

First, it can most possibly be used in reading medical images (including those of X-ray and computed tomography) and pathologic slides. China has a big population and boasts rich resources in medical images and slides, so AI application has very good prospects in reading pictures, provided that qualified data collection is completed.

Second, AI can be used for healthcare data analysis. It can assist with health management for the public through wearable devices and the internet. By analyzing a vast amount of data regarding a certain disease, AI can help authorities to predict development and prevalence of the disease.

Third, AI can help surgery robots to find the most optimized plans for surgery.

Fourth, AI can help with research and development of new drugs. By studying and analyzing existing drugs, AI can help researchers improve their compositions and develop new ones.

Although, theoretically, AI can promote the research and development of new drugs, it is a question as to how far it might help in the process. Research and development of new drugs also requires clinical trials.

AI technologies are developing very rapidly and no one is sure about AI's development in the next 10 years. But for the present, the major role AI has played is in assisting diagnosis and reducing the burden for doctors.

For example, companies in China have developed mature computerized voice recognition tools, and they can be used by doctors to record and create electronic records for patients, which can greatly reduce their computer work.

Although AI promises bright prospects in the medical care sector, I do not think it can replace doctors or squeeze all doctors from hospitals and clinics, as medicine is essentially a science relating to humans and involves communication between people. I don't think a patient would like to face just a machine when seeking diagnosis and treatment.

Having said that, although experienced doctors will still be needed to give final decisions in diagnosis, some doctors of the average level who fail to work hard may lose their jobs and be replaced by machines.

Last, I want to stress that doctors will play a very important role in facilitating AI application in medical care, and multidisciplinary cooperation in the sector is crucial. For the present, key tasks are to establish high-quality databases and create tangible products that benefit patients.

Moreover, technological breakthroughs in AI application in the medical sector require support from the government, so elite scholars and researchers of various disciplines are well organized for research and development.

The author is president of China Pharmaceutical University. The views do not necessarily reflect those of China Daily.

(China Daily Africa Weekly 11/10/2017 page9)

Today's Top News

Editor's picks

Most Viewed

Top
BACK TO THE TOP
English
Copyright 1994 - . 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
99精品一区二区三区| 亚洲偷欧美偷国内偷| 色综合天天视频在线观看 | 黄色精品视频| 爱搞国产精品| 激情影院在线| 怡红院红怡院欧美aⅴ怡春院| 成人亚洲性情网站www在线观看| 在线观看av影片| 成人c视频免费高清在线观看| 国产农村av| 免费羞羞视频| 成人毛片免费在线观看| 2色视频网站| 成年黄网站在线观看免费| 日日摸夜夜爽人人添| www.91在线播放| 久久一区精品| 国产一区二区三区蝌蚪| 午夜性爽视频男人的天堂| 欧美老女人在线| 欧美私人免费视频| 在线这里只有精品| 在线一区二区视频| 欧美午夜视频网站| 欧美日韩中文一区| 欧美日韩久久不卡| 91麻豆精品国产91久久久更新时间 | gogo在线高清视频| 色网站免费在线观看| 在线观看黄av| 九七久久人人| 影音先锋在线播放| 丁香花在线电影| 成年人黄色大片在线| 五月天av在线| 国产精品诱惑| 一区二区亚洲视频| 精品嫩草影院| 精品国产中文字幕第一页 | 在线免费黄色毛片| 天堂成人在线| 成人在线免费视频| 成人免费高清| 超碰在线cao| 草莓视频成人appios| 国产精品视频一区视频二区| 国产精品nxnn| 欧美日韩在线网站| 欧美1区2区3区| 亚洲综合激情| 精品一区二区在线播放| 成人福利电影精品一区二区在线观看| ww久久中文字幕| 国产精品国产三级国产专播品爱网| 亚洲免费观看在线观看| 天天操天天干天天综合网| 在线观看91精品国产入口| 日韩一区二区三区视频在线| 亚洲精品国产suv| 色偷偷亚洲男人天堂| 隔壁老王国产在线精品| 久热中文字幕精品视频在线| 黑人巨大40cm重口| 九色视频一区| www日韩tube| 国产美女情趣调教h一区二区| 精品3atv在线视频| 99re热精品视频| av中字幕久久| 日韩一区二区免费看| 美女视频黄频大全不卡视频在线播放 | 欧美大尺度激情区在线播放| 新久草在线视频| 女人18毛片水真多免费播放| 美日韩黄色片| 91女主播在线观看| 无遮挡爽大片在线观看视频| 亚洲精品午夜| 91综合在线| 久久精品1区| 播五月开心婷婷综合| 亚洲欧洲无码一区二区三区| 色婷婷久久久亚洲一区二区三区 | 中文字幕成人网| jizzjizzjizz欧美| 久久男人av| 久久精品欧美一区| 久久一区国产| 国产精品自拍网站| 久久精品视频免费| 亚洲一区在线观看免费观看电影高清 | 亚洲人体偷拍| 国产精品一区二区你懂的| 国产精品色在线| 一本一道综合狠狠老| 亚洲成人激情视频| 欧美福利小视频| 8x8x国产| 一级片免费在线| 超免费在线视频| 大奶在线精品| 亚洲小说欧美另类婷婷| 国产精品一区二区久久不卡 | 亚洲精品传媒| 写真福利精品福利在线观看| 青青草原在线亚洲| 亚洲一级电影| 成人av网站在线观看免费| 亚洲激情五月婷婷| 欧美一区二区在线免费观看| 精品国产一区二区三区久久狼5月| 四虎a级欧美在线观看| 91国内精品在线视频| 在线观看麻豆| 日本电影久久久| 99久久国产综合精品成人影院| 美女爽到高潮91| 国产精品高潮呻吟久久| 欧美日韩精品一区视频| 久久精品精品电影网| 国产精品外围在线观看| 最色在线观看| 丁香六月综合| 欧美色蜜桃97| 久久99国产精品久久| 亚洲欧美乱综合| 日韩欧美区一区二| 久久久亚洲成人| eeuss影院网站免费观看| 成人高清免费在线播放| 国产精品蜜月aⅴ在线| 91精品一区二区三区综合| 国产在线一区观看| 亚洲一区二区三区国产| 日韩成人av在线播放| 日本理论片2828理论片| h精品动漫在线观看| 欧产日产国产精品视频| 欧美老女人另类| 精品一区二区三区蜜桃| 亚洲成人免费在线观看| 亚洲男人天堂网站| 欧美黄色免费视频| 视频一区二区三区在线看免费看| 欧美91看片特黄aaaa| 国产精品99久久精品| 成人福利视频网站| 欧美三级日韩三级| 欧美激情亚洲综合一区| caoporn超碰国产公开| 国产高潮在线| 97精品一区| 99精品黄色片免费大全| 欧美性大战久久久久久久 | 欧美劲爆第一页| 四虎4hu新地址入口2023| 国产黄大片在线观看画质优化| 男人的天堂久久| 老司机精品视频导航| 亚洲18女电影在线观看| 中文字幕一区二区精品| 九九热在线观看| 中文在线字幕免费观看| 久久最新网址| 成人一二三区视频| 欧美性猛交xxxxxxxx| 97在线看免费观看视频在线观看| 黄色高清在线观看| 看片一区二区| 久久中文精品| 精品毛片网大全| 久久这里只有精品视频首页| av一级在线| 亚洲国产天堂久久综合网| 91国产美女在线观看| 中国一级特黄毛片大片| 日本在线视频一区二区| 亚洲毛片播放| 亚洲精品一卡二卡| 这里只有精品在线播放| av在线看网址| 97se综合| 一区二区三区福利| 亚洲自拍与偷拍| 久久婷婷国产麻豆91天堂| 高清国语自产在线观看| 久久免费资源| 免费一级片91| 在线看一区二区| www.男人天堂.com| 成人影视在线播放| 欧美日韩在线观看视频小说| 久久久不卡网国产精品二区| 日韩成人xxxx| 麻豆视频入口| 久久精品黄色| 久久精品国产精品亚洲精品 | 日本黄色女人| 深夜在线视频| 国产精品毛片在线| 婷婷久久综合九色综合绿巨人| 欧美黄色性视频| 亚洲尤物在线视频| 亚洲三级网页| 久久精品亚洲麻豆av一区二区| 日韩精品免费视频| 天天操夜夜逼| 亚洲人成777| 国产一区二区在线观看视频| 91精品国产综合久久久蜜臀粉嫩 | 免费黄网站在线观看| 亚洲人成网77777色在线播放 | 色一情一欲一爱一乱| av中文在线资源库| 一本久道久久综合婷婷鲸鱼| 精品福利在线观看| 2021国产精品视频| 免费在线看黄网站| 中国成人一区| 亚洲va欧美va国产va天堂影院| 7777kkkk成人观看| 久久大大胆人体| 2019中文字幕在线免费观看| 黄色大片在线看| 久久综合亚洲| 国产精品欧美久久久久无广告 | 天天色天天爽| 婷婷久久免费视频| 寂寞少妇一区二区三区| 日韩午夜在线观看视频| 奇米影视狠888| 成人黄色免费网站| 国产麻豆视频一区| 亚洲а∨天堂久久精品9966| www99xav| 国产成人夜色高潮福利影视| 久久人人97超碰com| 色偷偷综合社区| 黄色小视频在线免费观看| 久久五月天小说| 亚洲一区二区在线免费观看视频| 91av在线网站| 欧美xxxx黑人又粗又长| 性欧美xxxx大乳国产app| 欧美视频第二页| 丝袜免费视频| 91丨精品丨国产| 99精品国产91久久久久久| 中文字幕亚洲欧美| 丝袜视频国产在线播放| 亚洲国产一区二区在线观看| 欧美日韩国产页| 国产香蕉免费精品视频| 国产成人免费9x9x人网站视频 | 久热中文字幕在线精品免费 | 成人污版视频| 97精品视频在线观看自产线路二| 深夜福利一区二区| 成年人在线观看视频| 国内精品嫩模av私拍在线观看| 色美美综合视频| 日本dhxxxxxdh14日本| 日韩精品一区国产| 中文字幕av在线一区二区三区| 久久久免费精品| www555久久| 黄色日韩网站视频| 国产午夜精品一区二区三区| 三级黄视频在线观看| 欧美日韩专区| 欧美喷水一区二区| 2018高清国产日本一道国产| 婷婷精品在线观看| 亚洲午夜精品在线| 国产精品美女一区二区视频| 看亚洲a级一级毛片| 中文字幕精品综合| 黄色一二三区| 日韩中文视频| 久久新电视剧免费观看| 午夜精品福利在线观看| 国产精品论坛| 成人一级片网址| 欧美激情精品久久久久久黑人| 动漫一区二区| 岛国一区二区三区| 大胆欧美人体视频| 另类视频在线| 国产成人三级在线观看| 久久伊人精品视频| 欧美6一10sex性hd| 国产白丝网站精品污在线入口| 久久精品亚洲热| xxxx在线视频| 成年人网站91| 国内精品视频久久| 超碰aⅴ人人做人人爽欧美| 99久久精品一区二区| 国产+人+亚洲| 欧美在线va视频| 国产欧美精品区一区二区三区| 中文xxx视频| 91麻豆精品一二三区在线| 精品国产乱码久久久久久闺蜜 | 自拍偷在线精品自拍偷无码专区| 777777777亚洲妇女| 国产乱子精品一区二区在线观看| 国产欧美日韩视频在线观看| 亚洲精品爱爱久久| 蜜桃在线一区| 一级女性全黄久久生活片免费| 印度美女freesex性hd| 三级小说欧洲区亚洲区| 欧美丝袜一区二区三区| 拍拍拍999自拍偷| 99re66热这里只有精品8| 91精品国产综合久久婷婷香蕉| 在线观看免费网站| 男女精品视频| 在线亚洲男人天堂| 白白色在线观看| 久久久不卡影院| 久本草在线中文字幕亚洲欧美| 北条麻妃一区二区三区在线| 欧美日韩国产一区二区| 国产精品视频一区二区图片| 精品成人免费| 国产亚洲精品成人av久久ww| 国产盗摄一区二区| 久久网站热最新地址| 日本久久国产| 日日狠狠久久偷偷综合色| 欧美色综合网站| 最美情侣韩剧在线播放| 日韩高清在线电影| 精品国产欧美一区二区三区成人| 午夜伦理福利在线| 欧美国产亚洲另类动漫| 99久免费精品视频在线观78| 欧美手机在线| 欧美va日韩va| 国产在线观看91| 97久久精品人人做人人爽50路| 人善交vide欧美| 欧美男男gaytwinkfreevideos| 欧美疯狂性受xxxxx喷水图片| 精品无人乱码| 国产91在线|亚洲| 亚洲欧美日韩色图| 色婷婷久久久| 欧美一级夜夜爽| 免费在线观看av| 2020国产精品| www.91视频com| 久久久久久久久99精品大| 亚洲国产精品推荐| 97se亚洲国产综合自在线 | 成人精品国产免费网站| 成av人免费青青久| 日韩精品免费一区二区夜夜嗨| 欧美日韩国产高清一区二区| 国产二区视频在线观看| 国产suv精品一区二区三区| 亚洲成人黄色小说| 欧美国产极品| 日韩欧美在线观看一区二区三区| 思思99re6国产在线播放| aa级大片欧美| xxx欧美尤物xxx| 欧美黄色一区| www.日韩视频| 国产精品免费精品自在线观看| 一本色道**综合亚洲精品蜜桃冫 | 高清福利在线观看| 成人精品视频.| xxxx性bbbb欧美| 久久久久久久久丰满| 一区二区三区精品99久久 | 希岛爱理一区二区三区| 亚洲美女av电影| 日韩精品三区| 欧美性jizz18性欧美| 欧美福利在线播放| 看电视剧不卡顿的网站| 97国产在线视频| 性欧美lx╳lx╳| 亚洲国产欧美自拍| 中文字幕乱码中文乱码51精品| 一区二区三区欧美在线观看| 少妇精品放荡导航| 国产91精品入口| 91视频导航| 亚洲美女91| 午夜精品久久久99热福利| 偷拍亚洲色图| 日韩精品中文字幕有码专区| 91综合国产| 日韩av不卡一区| 精品国产乱码久久久久久免费|