Artificial Intelligence in Healthcare: Revolutionizing Diagnosis and Treatment Through Machine Learning
Year: 2024
Type: article
Abstract: Artificial intelligence (AI), particularly machine learning (ML), is rapidly transforming the healthcare landscape. This paper explores the profound impact of AI in healthcare, focusing on its application in revolutionizing diagnosis and treatment. We delve into the core principles of ML and its various subfields relevant to healthcare, including supervised, unsupervised, and reinforcement learning. Further, we examine specific examples of how AI-powered tools are being implemented to enhance diagnostic accuracy, personalize treatment plans, predict disease outbreaks, and improve patient outcomes. Challenges and ethical considerations associated with AI integration in healthcare are also discussed, highlighting the need for a responsible and equitable approach to its development and deployment. Finally, we explore future trends and potential applications of AI in healthcare, emphasizing its role in shaping the future of medicine.
Author: OKECHUKWU CHIDOLUO VITUS
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4412526563