English | 简体中文 | 繁體中文 | 한국어 | 日本語
Friday, 27 July 2018, 12:30 HKT/SGT
Share:
Doctor Smart partners with LangNet to use voice recognition to reduce the burden on doctors and detect disease through speech patterns
Doctor Smart partners the Language Network to improve doctor-patient experience, broaden access to healthcare

SINGAPORE, July 27, 2018 - (ACN Newswire) - Doctor Smart, global digital health ecosystem, starts its programme of researching the application of speech recognition in healthcare. Today we are proud to announce our first step - a partnership with LangNet, a decentralized, open ecosystem for language technologies.

According to a study, well over half of doctors in the U.S. are burned out, depressed, or both, and over half of all respondents in the study suggested 'fewer bureaucratic tasks' as a way to alleviate burnout. Doctors are weighed down by administrative tasks - primary care doctors were found to spend more than half of their workday on EHR-related tasks. Their time would be better spent interacting with patients.

Through this partnership, Doctor Smart and LangNet will build datasets, language models, and speech systems to integrate with Doctor Smart's existing communication platform. The objective is to reduce the administrative burden on doctors by enabling automated communications and intelligently annotated transcriptions through voice recognition technology.

In line with Doctor Smart's mission to create the easiest user experience for patients, integrating with LangNet can enable patients to quickly describe their problem by speaking to a voice AI, which in turn transmits to the doctor a short description including marked key words and entities. This eliminates the need for patients typing and filling in forms and saves doctors valuable time.

Voice recognition has also shown promising results for disease diagnosis. A recent study conducted by Mayo Clinic indicates an association between voice characteristics and coronary artery disease (CAD), opening the possibility of remote estimation of the probability of CAD among patients with chest pain. Other areas of interest and research include cognitive diseases and conditions such as Alzheimer's and concussions.

Pavel Roytberg, Doctor Smart co-founder: "We believe the partnership with LangNet could give in future not just a greater user experience during online consultations but unique medical possibilities in remote diagnostics. AI and machine learning could find vocal patterns that might signal stress disorder, postpartum depression, which is widely believed to be under-diagnosed, older people with dementia, Parkinson's, coronary artery disease and others. Moreover, changes in the voice could indicate whether patients have stopped taking their medications, such as antidepressants, muscle relaxants, diuretics."

Rob Lyu, LangNet CEO: "Doctor Smart has an innovative and user-centric approach. We hope our platform enables them to push the envelope on both user experience as well as disease diagnostics and are proud to support their mission of broadening access to healthcare".

About the companies:

Doctor Smart is an ecosystem for digital health based on unique technology. The platform uses utility tokens to ensure transparency in all transactions and make it globally scalable. Blockchain technology guarantees protection of qualification verification results against fraud. Doctor Smart aims to make quality health care available to millions of people worldwide, regardless of income level or location. See www.doctor-smart.com.

Language Network (LangNet) is a decentralized, open ecosystem for language technologies that support voice assistants, smart speakers, chatbots and conversational agents. We enable users to contribute language data in exchange for tokens, and developers can run campaigns to rapidly crowdsource the data and models they need to build new applications in different languages and for new uses cases. Blockchain and our utility token enable us to track contributions and share value equitably and in a decentralized way across the ecosystem. More at www.langnet.io.

Press contacts:
Across Asia Communications Ltd
Damon Kwok
Telephone: +852 3111 5182
Email: damon.kwok@acrossasia.hk



Topic: Press release summary Sectors: Daily Finance, Cloud & Enterprise, Daily News, Healthcare & Pharm, Crypto, Exchange, Blockchain Technology
https://www.acnnewswire.com
From the Asia Corporate News Network


Copyright © 2024 ACN Newswire. All rights reserved. A division of Asia Corporate News Network.

 

Latest Press Releases
Fujitsu and Oracle collaborate to deliver sovereign cloud and AI capabilities in Japan  
Thursday, April 18, 2024 10:14:00 AM
The Executive Centre Announces Record Revenue in FY2023 Annual Results  
Apr 18, 2024 10:00 HKT/SGT
Eisai: Research on Treatments for Alzheimer's Disease Based on Its Pathological Mechanisms Recieves Award for Science and Technology (Research Category)  
Thursday, April 18, 2024 9:53:00 AM
All-New Triton Confirmed as First Double-Cab Pickup Truck to Achieve 2024 Five-Star ANCAP Safety Rating  
Thursday, April 18, 2024 8:22:00 AM
The Rapidly Evolving Real Estate Landscape: Redefine Real Estate Summit Connects Key Players in South East Asia  
Apr 18, 2024 08:11 HKT/SGT
Prestigious titles for top developers at the 14th PropertyGuru Asia Property Awards (Singapore)   
Apr 18, 2024 08:00 HKT/SGT
Eesee Implements Blockpass for Compliance in Digital Assets Marketplace  
Apr 18, 2024 07:00 HKT/SGT
A new spin on materials analysis  
Apr 17, 2024 22:00 HKT/SGT
Hong Kong Interior Design Firm Junee (JUNE) to Debut on the Nasdaq  
Apr 17, 2024 21:30 HKT/SGT
To acquire stake in Hangzhou Bizike, Phoenitron Holdings has eye on trillion-dollar e-commerce market  
Apr 17, 2024 20:06 HKT/SGT
More Press release >>
 Events:
More events >>
Copyright © 2024 ACN Newswire - Asia Corporate News Network
Home | About us | Services | Partners | Events | Login | Contact us | Cookies Policy | Privacy Policy | Disclaimer | Terms of Use | RSS
US: +1 214 890 4418 | China: +86 181 2376 3721 | Hong Kong: +852 8192 4922 | Singapore: +65 6549 7068 | Tokyo: +81 3 6859 8575