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AI-Based Medical Voice Assistant During Covid-19

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 385))

Abstract

Presently, healthcare is the most important domain across the globe. Amidst this pandemic, all the doctors are much occupied and extremely busy. Getting proper treatment from doctor is getting difficult due to unavailability of doctors. Moreover, if a person feels uneasy and does not know what exactly the problem is, they really do not know which doctor they should take an appointment with. So, in this chapter intend to provide a web application as an all-in-one solution with an integrated voice assistant, which can help you with the process of disease diagnosis. For those doctors and patients who may need a second brain to make sure the diagnosis is correct, this is a platform with an AI-based medical voice assistant. It can work verbally with the doctor/patient and can assist him/her with the diagnostic process. This voice assistant should be able to select a patient’s illness on a confidence score to support diagnosis operations. Such a software can help both physicians and patients. Depending on the predicted disease/illness, the doctor may give the patient an e-prescription using the help of a voice assistant. The patient can also order medication using a voice assistant. The archives are stored in an orderly fashion, so users do not have to worry about losing them. This application is exclusively made to assist doctors and patients with intention of giving medical care in an interactive, lifesaving and resource saving manner. This application is a minor step in achieving a bigger target of completely digitalizing our medical care.

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Author information

Authors and Affiliations

  1. Information Technology, Vnrvjiet, Hyderabad, Telangana, India

    P. Balakesava Reddy & Somula Ramasubbareddy

  2. Scope, Vit University, Vellore, Tamilnadu, India

    K. Govinda

Authors
  1. P. Balakesava Reddy
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  2. Somula Ramasubbareddy
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  3. K. Govinda
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Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. Jawaharlal Nehru Technological University, Hyderabad, India

    A. Govardhan

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Balakesava Reddy, P., Ramasubbareddy, S., Govinda, K. (2022). AI-Based Medical Voice Assistant During Covid-19. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 385. Springer, Singapore. https://doi.org/10.1007/978-981-16-8987-1_13

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