Artificial Intelligence Applications in Healthcare
Usmani, Usman Ahmad; Happonen, Ari; Watada, Junzo; Khakurel, Jayden (2023-07-30)
Post-print / Final draft
Usmani, Usman Ahmad
Happonen, Ari
Watada, Junzo
Khakurel, Jayden
30.07.2023
Springer, Singapore
School of Engineering Science
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© Springer
© Springer
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20241219105743
https://urn.fi/URN:NBN:fi-fe20241219105743
Tiivistelmä
The demand of healthcare services is rising, for e.g., Europe and the US are experiencing shortage of healthcare professionals. Artificial intelligence (AI) holds a promise to assist healthcare professionals in wide range of tasks. There is already a large amount of clinical and non-clinical evidence that AI algorithms can analyze both structured and unstructured clinical data (including images) data from electronic medical records (EMRs) with the characterization and prognosis of the disease. However, there is lack of study that provides an overview on what are the clinical applications that currently exist. This study provides an overview on the most powerful AI applications in healthcare, including those that are directly related to healthcare as well as those that are part of the healthcare value chain, such as drug development and ambient assisted living. Moreover, this article also provides an overview on the ethical concerns that may arise with the use of AI in healthcare domain.
Lähdeviite
Usmani, U.A., Happonen, A., Watada, J., Khakurel, J. (2023). Artificial Intelligence Applications in Healthcare. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 694. Springer, Singapore. DOI: 10.1007/978-981-99-3091-3_89
Kokoelmat
- Tieteelliset julkaisut [1841]
