---
_id: '23674'
abstract:
- lang: eng
  text: The diagnosis of diseases is decisive for planning proper treatment and ensuring
    the well-being of patients. Human error hinders accurate diagnostics, as interpreting
    medical information is a complex and cognitively challenging task. The application
    of artificial intelligence (AI) can improve the level of diagnostic accuracy and
    efficiency. While the current literature has examined various approaches to diagnosing
    various diseases, an overview of fields in which AI has been applied, including
    their performance aiming to identify emergent digitalized healthcare services,
    has not yet been adequately realized in extant research. By conducting a critical
    review, we portray the AI landscape in diagnostics and provide a snapshot to guide
    future research. This paper extends academia by proposing a research agenda. Practitioners
    understand the extent to which AI improves diagnostics and how healthcare benefits
    from it. However, several issues need to be addressed before successful application
    of AI in disease diagnostics can be achieved.</jats:p>
author:
- first_name: Milad
  full_name: Mirbabaie, Milad
  id: '88691'
  last_name: Mirbabaie
- first_name: Stefan
  full_name: Stieglitz, Stefan
  last_name: Stieglitz
- first_name: Nicholas R. J.
  full_name: Frick, Nicholas R. J.
  last_name: Frick
citation:
  ama: 'Mirbabaie M, Stieglitz S, Frick NRJ. Artificial intelligence in disease diagnostics:
    A critical review and classification on the current state of research guiding
    future direction. <i>Health and Technology</i>. 2021:693-731. doi:<a href="https://doi.org/10.1007/s12553-021-00555-5">10.1007/s12553-021-00555-5</a>'
  apa: 'Mirbabaie, M., Stieglitz, S., &#38; Frick, N. R. J. (2021). Artificial intelligence
    in disease diagnostics: A critical review and classification on the current state
    of research guiding future direction. <i>Health and Technology</i>, 693–731. <a
    href="https://doi.org/10.1007/s12553-021-00555-5">https://doi.org/10.1007/s12553-021-00555-5</a>'
  bibtex: '@article{Mirbabaie_Stieglitz_Frick_2021, title={Artificial intelligence
    in disease diagnostics: A critical review and classification on the current state
    of research guiding future direction}, DOI={<a href="https://doi.org/10.1007/s12553-021-00555-5">10.1007/s12553-021-00555-5</a>},
    journal={Health and Technology}, author={Mirbabaie, Milad and Stieglitz, Stefan
    and Frick, Nicholas R. J.}, year={2021}, pages={693–731} }'
  chicago: 'Mirbabaie, Milad, Stefan Stieglitz, and Nicholas R. J. Frick. “Artificial
    Intelligence in Disease Diagnostics: A Critical Review and Classification on the
    Current State of Research Guiding Future Direction.” <i>Health and Technology</i>,
    2021, 693–731. <a href="https://doi.org/10.1007/s12553-021-00555-5">https://doi.org/10.1007/s12553-021-00555-5</a>.'
  ieee: 'M. Mirbabaie, S. Stieglitz, and N. R. J. Frick, “Artificial intelligence
    in disease diagnostics: A critical review and classification on the current state
    of research guiding future direction,” <i>Health and Technology</i>, pp. 693–731,
    2021.'
  mla: 'Mirbabaie, Milad, et al. “Artificial Intelligence in Disease Diagnostics:
    A Critical Review and Classification on the Current State of Research Guiding
    Future Direction.” <i>Health and Technology</i>, 2021, pp. 693–731, doi:<a href="https://doi.org/10.1007/s12553-021-00555-5">10.1007/s12553-021-00555-5</a>.'
  short: M. Mirbabaie, S. Stieglitz, N.R.J. Frick, Health and Technology (2021) 693–731.
date_created: 2021-09-02T08:01:10Z
date_updated: 2022-01-06T06:55:58Z
department:
- _id: '646'
doi: 10.1007/s12553-021-00555-5
language:
- iso: eng
page: 693-731
publication: Health and Technology
publication_identifier:
  issn:
  - 2190-7188
  - 2190-7196
publication_status: published
status: public
title: 'Artificial intelligence in disease diagnostics: A critical review and classification
  on the current state of research guiding future direction'
type: journal_article
user_id: '88831'
year: '2021'
...