Barua, R and Datta, S (2023) Artificial intelligence in modern medical science: A promising practice. [Book Chapter]
Full text not available from this repository. (Request a copy)Abstract
Medical technology powered by artificial intelligence is quickly developing into useful clinical practice solutions. Deep learning algorithms can handle the growing volumes of data produced by mobile monitoring sensors found in wearables, smartphones, and other medical devices. Currently, only a very limited number of clinical practice settings, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging, benefit from the application of artificial intelligence. Patients have been waiting for the deployment of augmented medicine since it gives them more autonomy and more individualized care, but doctors have been resistant because they weren't ready for such a change in clinical practice. The purpose of this study is to glance over recent scientific material and offer a perspective on the advantages, potential benefits, and potential concerns of established artificial intelligence applications in the modern healthcare sector. © 2023, IGI Global.
| Item Type: | Book Chapter |
|---|---|
| Publication: | Recent Developments in Machine and Human Intelligence |
| Publisher: | IGI Global |
| Additional Information: | The copyright for this article belongs to the IGI Global. |
| Department/Centre: | Division of Mechanical Sciences > Materials Engineering (formerly Metallurgy) |
| Date Deposited: | 01 Dec 2023 04:22 |
| Last Modified: | 01 Dec 2023 04:22 |
| URI: | https://eprints.iisc.ac.in/id/eprint/83420 |
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