Artificial Intelligence in Healthcare: Practical Tools for Diagnosis and Patient Care

Title: Artificial Intelligence: Theory, Tools and Real-World Applications

Editors: Prof. Dr. A. Shameem and Dr. J. Rengamani

ISBN: 978-81-69857-67-3

Chapter: 3

DOI: https://doi.org/10.59646/819/09

Author: Ms. B. Geno Cinthia

Abstract

Artificial Intelligence (AI) is transforming the healthcare sector by improving the accuracy, efficiency, and accessibility of medical services. AI-powered tools assist healthcare professionals in diagnosing diseases, analyzing medical images, predicting health risks, and developing personalized treatment plans. Machine learning algorithms can process large volumes of patient data to identify patterns that support early disease detection and informed clinical decision-making. Additionally, AI enhances patient care through virtual health assistants, remote monitoring systems, and automated administrative tasks, reducing the workload of healthcare providers. Despite its numerous benefits, challenges such as data privacy, ethical concerns, and implementation costs must be addressed for successful adoption. This paper explores the practical applications of AI in healthcare, focusing on diagnostic tools, patient care solutions, benefits, challenges, and future prospects.

Keywords: Artificial Intelligence, Healthcare, Disease Diagnosis, Machine Learning, Medical Imaging, Patient Care, Predictive Analytics, Virtual Health Assistants, Healthcare Technology, Personalized Medicine.