Caixin
Caixin Global – Latest China News & Headlines

Home >

TRENDING
Police Travel 1,000 Miles to Detain Man Who Mocked His Hometown on WeChat Two Years Earlier
Did a Tesla Explode in China?
More Pigs Die in China’s Last Mainland Province to Get Swine Fever
LATEST
Streaming Video Leader Bilibili Tries to Assuage Users After Massive Code Leak
Starbucks China Rival Luckin Coffee Files for U.S. Listing
Sinopec Group Names General Manager After Year-Long Vacancy
China and Japan Reach Agreement to Cross-List ETFs
Asian Infrastructure Investment Bank Accepts 4 New Members
Didi Warns of Loss as Costs Outpace Commission Revenue
Caixin’s In-Depth Look at China’s Momentous Health Insurance Transformation
Shanghai to Switch to Electronic Tolls by December
Chinese Surveillance Camera Maker Hikvision Sees Growth Slow in 2018
Fans Smash Glass at Shanghai Airport to Get Closer to Idol
Police Travel 1,000 Miles to Detain Man Who Mocked His Hometown on WeChat Two Years Earlier
China Welcomes 100 ‘Young African Military Officials’ on Visit, Though Details Are Murky
Did a Tesla Explode in China?
More Pigs Die in China’s Last Mainland Province to Get Swine Fever
Samsung Postpones China Release of Foldable Phone After It Breaks in Users’ Hands
Politburo Warns of Lingering Pressure on Economy, Vows Support
Huawei Takes Second Crack at Brazilian Smartphone Market
‘Avengers: Endgame’ Has Made 400 Million Yuan in China – And It’s Not Even Out Yet
Sinovation-Backed Education Firm Secures $140 Million in New Funding
China ‘Regrets’ WTO Ruling on Agriculture Trade Restrictions

By Flynn Murphy / Feb 13, 2019 04:45 PM / Environment

Photo: VCG

Photo: VCG

Researchers in China and the U.S. have designed a machine to diagnose sick people based on their doctors’ notes — with an accuracy that rivals its human counterparts.

They say the system, a type of neural network, could help physicians make differential diagnoses — or decide between two or more diseases with similar symptoms — as well as prioritize patients for treatment in emergency rooms.

It has learned to read electronic health records and extract a patient’s symptoms, history, and test results to make diagnoses, say the researchers, who trained it using data from half a million children that visited a Guangzhou pediatric hospital over 18 months to July 2017.

The research team, led by Kang Zhang of the University of California San Diego, published its work this week in Nature Medicine.

They pitted the system against 20 physicians on a random sample of 12,000 patient records from a second Guangzhou hospital. It rivaled doctors with many years of training in accuracy, but its performance depended on the disease.

It was better at spotting respiratory disease than were doctors with 25 years’ experience, and excellent at identifying potentially deadly bacterial meningitis, a brain infection, but poorer than human physicians at identifying encephalitis, or inflammation of the brain.

“This result suggests that this AI model may potentially assist junior physicians in diagnoses but may not necessarily outperform experienced physicians,” the researchers wrote.

It could also be used as a triaging tool at hospitals to ensure “physicians’ time is dedicated to the patients with the highest and/or most urgent needs,” as well as to reduce waiting times.

And it could help doctors make better differential diagnoses, because physicians tend to be biased towards diagnosing diseases they have seen regularly or recently, the researchers wrote.

Related: Beijing Hospital Exec Fakes Dementia to Cheat Insurance System

Support independent journalism from China. Subscribe to Caixin Global starting at $0.99.

Share this article
Open WeChat and scan the QR code
Copyright © 2017 Caixin Global Limited. All Rights Reserved.