Year: 2025
Type: article
Abstract: Integrating clean data and Artificial Intelligence (AI) in health can completely transform medical diagnosis, therapy, and patient management. Clear data is very important for guaranteeing the validity and dependability of artificial intelligence models, therefore raising their capacity to give accurate medical observations. Still, difficulties including data quality, interoperability, bias, privacy concerns, scalability, and regulatory limits impede the seamless use of artificial intelligence in the medical field. Notwithstanding these hiccups, artificially intelligent healthcare solutions raise diagnostic accuracy, automate administrative works, and allow for personalized medicine. The vital need of artificial intelligence in healthcare data cleaning, its difficulties, and more general ramificationsfor the healthcare sector are addressed in this article.Maximizing AI's potential and guarantee ethical and secure deployment will depend in part on creative frameworks and rules handling these problems.
Author: Vinu V Pillai Sobhana
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409600292