Artificial Intelligence Applications in Healthcare




Usmani Usmani A, Happonen Ari, Watada Junzo, Khakurel Jayden

Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi

International Congress on Information and Communication Technology

PublisherSpringer Science and Business Media Deutschland GmbH

Brunel University

2023

Lecture notes in networks and systems

ICICT 2023: Proceedings of Eighth International Congress on Information and Communication Technology

Lecture Notes in Networks and Systems

Lecture Notes in Networks and Systems

694

2

1085

1104

978-981-9930-90-6

978-981-9930-91-3

2367-3370

DOIhttps://doi.org/10.1007/978-981-99-3091-3_89

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.



Last updated on 2024-26-11 at 21:27