Doctor Smart and LangNet partner to research healthcare applications of voice recognition

Doctor Smart and LangNet partner to research healthcare applications of voice recognition

Blockchain-based healthcare platform Doctor Smart and language data crowdsourcing platform LangNet have formed a partnership to work towards applying voice recognition to a wide range of healthcare tasks, from intelligent note-taking to diagnosis of coronary artery disease (CAD).

LangNet provides a decentralized, open ecosystem for language technologies, rewarding data contributors with tokens, and both companies have upcoming ICOs.

The companies plan to build datasets, language models, and speech systems to integrate with Doctor Smart’s platform with the primary aim of reducing the administrative burden faced by doctors. They intend to develop automated communications tools and intelligently annotated transcriptions, which will also eliminate the need for patients to fill in forms.

Research by the Mayo Clinic indicates a correlation between voice characteristics and CAD, according to the announcement, and the companies are also interested in possible use for identifying cognitive diseases and conditions, including and Alzheimer’s and concussions.

“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,” Doctor Smart Co-founder Pavel Roytberg says. “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.”

“Doctor Smart has an innovative and user-centric approach,” said LangNet CEO Rob Lyu. “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.”

Roytberg also recently penned an editorial for CoinAnnouncer in which he predicts that telemedicine and e-prescriptions are about to impact the medical industry, followed by widespread implementation of AI for image analysis, diagnostic assistance, and disease risk assessment.

Orbita, which builds conversational AI systems for healthcare is participating in the 2018 PULSE@UMassChallenge accelerator with AARP to study remote patient monitoring with voice technology.

A report from Grand View Research predicts the global healthcare biometrics market will reach $11.7 billion by 2024.

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