Improving Medical Diagnostic Outcomes Through the use of Artificial Intelligence and Machine Learning
Year: 2025
Type: article
Abstract: The potential benefits of machine learning (AI) for healthcare, and nursing in particular, include enhancing the effectiveness and quality of treatment as well as fulfilling the promise of precision and individualized medicine. AI systems could eventually become virtually required as more and more data about every facet of health is gathered. In addition to improving precision, speeding up discovery, and lowering disparities, AI can assist in lowering care variability. AI has the ability to empower patients and enable medical providers to view their patients as healers who are backed by the greatest available medical research and analytical tools. However, identifying the best applications for AI, resolving the institutional, technological, legal, and psychological obstacles to its successful application, and Incorporating AI into the medical field. This paper gives an overview of the history and basic components of artificial intelligence (AI), its uses in nursing and healthcare, and the major obstacles to its adoption in the health care sector.
Author: Gauraangi Praakash
Institution: Amity University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409622878