Doctor Smart partners with LangNet to use voice recognition to reduce the burden on doctors and detect disease through speech patterns

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 that 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 underdiagnosed, older people with dementia, Parkinson's, coronary artery disease and others. Moreover, changes in the voice could indicate whether patients have stopped taking their medication like antidepressants, muscle relaxants, diuretics, etc."

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.

The 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 information is available on our website.

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