A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Artificial Intelligence Applications in Healthcare
Tekijät: Usmani Usmani A, Happonen Ari, Watada Junzo, Khakurel Jayden
Toimittaja: Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
Konferenssin vakiintunut nimi: International Congress on Information and Communication Technology
Kustantaja: Springer Science and Business Media Deutschland GmbH
Kustannuspaikka: Brunel University
Julkaisuvuosi: 2023
Journal: Lecture notes in networks and systems
Kokoomateoksen nimi: ICICT 2023: Proceedings of Eighth International Congress on Information and Communication Technology
Tietokannassa oleva lehden nimi: Lecture Notes in Networks and Systems
Sarjan nimi: Lecture Notes in Networks and Systems
Numero sarjassa: 694
Vuosikerta: 2
Aloitussivu: 1085
Lopetussivu: 1104
ISBN: 978-981-9930-90-6
eISBN: 978-981-9930-91-3
ISSN: 2367-3370
DOI: https://doi.org/10.1007/978-981-99-3091-3_89
Verkko-osoite: https://doi.org/10.1007/978-981-99-3091-3_89
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.
