Quality in Primary Care Open Access

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Abstract

Using Ethical Artificial Intelligence EAI to Improve the Management of Hospitals and Health Care Centers

Rasha A Waheeb* and Kusay A Wheib

Modern methods of managing health centers and hospitals are necessary to achieve sustainable development in providing a decent, comfortable life, health and security. The most prominent of these methods is the use of Ethical Artificial Intelligence (EAI), which may help in managing hospitals through predictive analysis, digital monitoring, continuous education, and enhancing inputs. The outputs and building a broad and robust database, helps reduce costs, and enables personalized care. It also changes procedures, makes the most of available resources, diagnoses clinical and radiological examinations and helps improve patient outcomes to the greatest extent possible.

Artificial intelligence in medicine relies on an amazing array of tools and technologies that enable doctors and health professionals to achieve tremendous progress in multiple fields. Artificial intelligence transforms huge medical data into valuable information and smart decisions. It can scan millions of medical records in just seconds and detect patterns and trends invisible to humans.

In addition, artificial intelligence can apply machine learning algorithms to analyze medical images with high accuracy, contributing to the diagnosis of diseases with unparalleled speed and accuracy. Artificial intelligence also has the ability to characterize complex relationships between multiple factors that affect health.

It can analyze genetic, environmental data and individual health habits of patients to better understand the causes of diseases and disorders.

Artificial intelligence may also help guide treatment more accurately and effectively. It promotes better medical decision-making based on accurate evidence and tailor’s treatments to meet the needs of each individual patient.

In terms of medical research, AI can accelerate drug discovery and the development of new treatments by analyzing big data and bio information at breakneck speed.

Published Date: 2025-03-27; Received Date: 2024-06-20