Year: 2024
Type: article
Abstract: The depression rate has been ever-increasing in the past decade, and there are more than 10 types of antidepressants available. Currently, many doctors and healthcare workers have been attempting to find the best type of antidepressants for their patients with their multiple trials, but this has led to an increase in suicidal rates every year. Interestingly, artificial intelligence has been shown to analyze patient’s genetics, facilitate remote monitoring, track their medication records with its accurate algorithms, and process mass datasets quickly. Thus, this paper aims to provide a structured analysis of the extent to which AI can be included in the healthcare industry to optimize personalized medication for depression patients in order to balance out undesirable side effects.
Author: Tsang Wai Ki, Ella
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949917288
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