The Role of Artificial Intelligence in Transforming Patient Care and Diagnostic Processes

EasyChair Preprint 14677

Abstract

Artificial Intelligence (AI) is increasingly pivotal in revolutionizing patient care and diagnostic processes

within the healthcare sector. This article examines the transformative impact of AI technologies,

including machine learning, natural language processing, and computer vision, on improving diagnostic

accuracy, streamlining patient care, and enhancing clinical workflows. By analyzing recent advancements

and case studies, the article highlights how AI-driven tools support early disease detection, personalized

treatment plans, and efficient management of patient data. It also explores the potential challenges and

ethical considerations associated with AI implementation, such as data privacy and algorithmic biases.

The article concludes by outlining future directions for AI in healthcare, emphasizing the need for

continued research, interdisciplinary collaboration, and regulatory frameworks to maximize the benefits

of AI while addressing potential risks. Through this exploration, the article aims to provide a

comprehensive understanding of AI's role in advancing patient care and diagnostic practices, ultimately

contributing to a more effective and equitable healthcare system.

Keyphrases: Advancing, Artificial, Diagnostic, Healthcare, Patient, intelligence, system

@booklet{EasyChair:14677,
  author    = {Edwin Frank},
  title     = {The Role of Artificial Intelligence in Transforming Patient Care and Diagnostic Processes},
  howpublished = {EasyChair Preprint 14677},
  year      = {EasyChair, 2024}}