国产精品99一区二区三_免费中文日韩_国产在线精品一区二区_日本成人手机在线

China Focus: AI beats human doctors in neuroimaging recognition contest

Source: Xinhua| 2018-06-30 22:48:09|Editor: Yamei
Video PlayerClose

BEIJING, June 30 (Xinhua) -- An artificial intelligence (AI) system scored 2:0 against elite human physicians Saturday in two rounds of competitions in diagnosing brain tumors and predicting hematoma expansion in Beijing.

The BioMind AI system, developed by the Artificial Intelligence Research Centre for Neurological Disorders at the Beijing Tiantan Hospital and a research team from the Capital Medical University, made correct diagnoses in 87 percent of 225 cases in about 15 minutes, while a team of 15 senior doctors only achieved 66-percent accuracy.

The AI also gave correct predictions in 83 percent of brain hematoma expansion cases, outperforming the 63-percent accuracy among a group of physicians from renowned hospitals across the country.

The outcomes for human physicians were quite normal and even better than the average accuracy in ordinary hospitals, said Gao Peiyi, head of the radiology department at Tiantan Hospital, a leading institution on neurology and neurosurgery.

To train the AI, developers fed it tens of thousands of images of nervous system-related diseases that the Tiantan Hospital has archived over the past 10 years, making it capable of diagnosing common neurological diseases such as meningioma and glioma with an accuracy rate of over 90 percent, comparable to that of a senior doctor.

All the cases were real and contributed by the hospital, but never used as training material for the AI, according to the organizer.

Wang Yongjun, executive vice president of the Tiantan Hospital, said that he personally did not care very much about who won, because the contest was never intended to pit humans against technology but to help doctors learn and improve through interactions with technology.

"I hope through this competition, doctors can experience the power of artificial intelligence. This is especially so for some doctors who are skeptical about artificial intelligence. I hope they can further understand AI and eliminate their fears toward it," said Wang.

Dr. Lin Yi who participated and lost in the second round, said that she welcomes AI, as it is not a threat but a "friend."

AI will not only reduce the workload but also push doctors to keep learning and improve their skills, said Lin.

Bian Xiuwu, an academician with the Chinese Academy of Science and a member of the competition's jury, said there has never been an absolute standard correct answer in diagnosing developing diseases, and the AI would only serve as an assistant to doctors in giving preliminary results.

Dr. Paul Parizel, former president of the European Society of Radiology and another member of the jury, also agreed that AI will not replace doctors, but will instead function similar to how GPS does for drivers.

Dr. Gauden Galea, representative of the World Health Organization in China, said AI is an exciting tool for healthcare but still in the primitive stages.

Based on the size of its population and the huge volume of accessible digital medical data, China has a unique advantage in developing medical AI, according to Galea.

China has introduced a series of plans in developing AI applications in recent years.

In 2017, the State Council issued a development plan on the new generation of Artificial Intelligence and the Ministry of Industry and Information Technology also issued the "Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence (2018-2020)."

The Action Plan proposed developing medical image-assisted diagnostic systems to support medicine in various fields.

TOP STORIES
EDITOR’S CHOICE
MOST VIEWED
EXPLORE XINHUANET
010020070750000000000000011103261372924511
国产精品99一区二区三_免费中文日韩_国产在线精品一区二区_日本成人手机在线
亚洲一卡二卡三卡四卡五卡| 影视先锋久久| 欧美日韩 国产精品| 欧美午夜不卡视频| 国产精品乱码一区二区三区| 国产视频精品网| 亚洲国产精品成人综合| 亚洲精品乱码久久久久久蜜桃91 | 国产综合色产在线精品| 亚洲第一区在线| 亚洲最新视频在线| 欧美一区免费视频| 欧美成人久久| 国产精品免费福利| 在线播放亚洲一区| 一区二区三区日韩精品| 久久精品国产免费观看| 欧美片在线观看| 国内外成人免费激情在线视频 | 午夜精品电影| 美女视频黄a大片欧美| 欧美视频日韩视频| 尤妮丝一区二区裸体视频| 一区二区三区产品免费精品久久75 | 国产一区91| 亚洲精品视频在线看| 午夜精品一区二区三区电影天堂 | 亚洲天堂av图片| 久久综合狠狠综合久久综合88| 欧美性色综合| 亚洲高清视频在线观看| 午夜日韩在线| 欧美日韩精品欧美日韩精品 | 国产欧美不卡| 亚洲精品日日夜夜| 久久精品欧美| 国产精品国产亚洲精品看不卡15 | 91久久久久久| 久久国产日韩欧美| 国产精品成人一区二区| 最新国产成人在线观看| 久久精品国产亚洲5555| 国产精品久久久久免费a∨| 亚洲精品裸体| 久久伊人亚洲| 国产一区二区三区免费观看| 亚洲一区二区久久| 欧美日本三区| 亚洲国产精品一区| 久久人人超碰| 黑人中文字幕一区二区三区 | 老司机午夜精品视频在线观看| 国产欧美日本一区视频| 亚洲视频在线观看三级| 欧美a级理论片| 精品999日本| 久久精品午夜| 国产在线视频不卡二| 亚洲欧美色婷婷| 99视频在线精品国自产拍免费观看| 欧美影院成人| 国产精品国产福利国产秒拍| 日韩视频免费观看| 欧美韩国日本一区| 亚洲国产专区| 猛男gaygay欧美视频| 狠狠色狠狠色综合| 久久精品噜噜噜成人av农村| 国产女人精品视频| 午夜精品久久久久久久| 国产精品高潮视频| 国产精品99久久久久久www| 欧美日韩视频在线一区二区| 亚洲美女中出| 欧美日韩小视频| 夜夜嗨av一区二区三区四季av| 欧美日产在线观看| 在线一区欧美| 国产精品高潮粉嫩av| 亚洲一区日本| 国产精品自在欧美一区| 欧美一级视频精品观看| 国产亚洲a∨片在线观看| 香蕉成人久久| 国产一区二区三区高清 | 欧美精品综合| 一本久道久久综合中文字幕| 欧美日韩一区二| 亚洲天堂黄色| 国产精品一区亚洲| 久久爱另类一区二区小说| 国产在线一区二区三区四区| 久久青草久久| 亚洲高清视频一区| 欧美激情一区二区三区| 在线综合亚洲欧美在线视频| 国产精品久久久久7777婷婷| 欧美亚洲三区| 伊人精品视频| 欧美国产精品久久| 一区二区三区视频免费在线观看| 欧美性色aⅴ视频一区日韩精品| 亚洲自拍电影| 国产在线视频欧美一区二区三区| 久久蜜桃精品| 亚洲精品视频在线播放| 欧美视频在线观看| 欧美在线精品免播放器视频| 亚洲福利在线观看| 欧美精品三区| 亚洲免费人成在线视频观看| 国产一区三区三区| 欧美xx视频| 亚洲无线一线二线三线区别av| 国产欧美一区二区三区另类精品| 久久免费99精品久久久久久| 亚洲精品免费网站| 国产精品久久久久久久久久免费看| 欧美中文在线免费| 亚洲黑丝在线| 国产精品免费在线| 久久综合影视| 亚洲视频视频在线| 国产专区一区| 欧美日韩不卡视频| 欧美亚洲一级| 亚洲国产欧美日韩另类综合| 国产精品99免费看 | 久久国产精品99久久久久久老狼| 亚洲国产欧美一区二区三区同亚洲| 一区二区三区四区蜜桃| 国产欧美视频一区二区| 欧美成人综合| 欧美一级久久| 日韩视频二区| 国产午夜精品久久久久久久| 欧美激情一区二区三区四区| 午夜一级久久| 亚洲精品久久久久久久久久久久| 国产精品久久久久久久第一福利| 裸体丰满少妇做受久久99精品| 亚洲夜晚福利在线观看| 在线国产精品播放| 国产精品网站在线观看| 欧美国产日韩一区二区| 欧美一级理论性理论a| 日韩亚洲欧美综合| 激情久久五月天| 国产精品久久久久婷婷| 欧美不卡激情三级在线观看| 羞羞答答国产精品www一本| 日韩视频一区二区在线观看| 国内精品写真在线观看| 欧美四级伦理在线| 欧美成人综合| 久久久精品动漫| 亚洲免费视频观看| 日韩一二在线观看| 激情丁香综合| 国产欧美69| 欧美图区在线视频| 欧美国产精品人人做人人爱| 久久久综合激的五月天| 亚洲欧美日韩一区在线| 99精品国产高清一区二区| 亚洲国产欧美精品| 狠狠久久亚洲欧美专区| 国产精品一区二区三区免费观看 | 亚洲成色精品| 国产午夜一区二区三区| 国产精品国产三级国产专播精品人 | 性欧美xxxx视频在线观看| 欧美一区二区视频97| 在线观看日韩av电影| 亚洲天堂偷拍| 国模私拍一区二区三区| 久久亚洲精品欧美| 亚洲欧美国产日韩天堂区| 伊人激情综合| 国产精品视频yy9099| 国产精品国产自产拍高清av王其| 午夜在线视频观看日韩17c| 国产亚洲综合精品| 亚洲免费在线观看视频| 最新中文字幕一区二区三区| 欧美日韩天堂| 亚洲欧美日韩精品在线| 99视频日韩| 一区二区三区在线视频观看 | 国产欧亚日韩视频| 欧美午夜精品一区| 欧美日韩国产精品一区| 欧美顶级少妇做爰| 美日韩在线观看| 久久婷婷综合激情| 久久久亚洲一区| 久久久99免费视频| 久久久综合激的五月天| 久久免费精品视频| 久久久久久尹人网香蕉| 久久精品亚洲国产奇米99| 久久精品国产亚洲精品| 久久国产精品亚洲va麻豆| 久久激情综合|