Improving Medical Diagnostic Outcomes Through the use of Artificial Intelligence and Machine Learning

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.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-13
DOI
https://doi.org/10.52783/jisem.v10i35s.6172
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving Medical Diagnostic Outcomes Through the use of Artificial Intelligence and Machine Learning

Gauraangi Praakash
Journal of Information Systems Engineering & Management
Artificial Intelligence in Healthcare
article

Improving Medical Diagnostic Outcomes Through the use of Artificial Intelligence and Machine Learning

Gauraangi Praakash
article en

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.

Journal of Information Systems Engineering & ManagementVol. 10(35s)
Openalex Percentile: Top 91%
Artificial Intelligence in Healthcare
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Improving Medical Diagnostic Outcomes Through the use of Artificial Intelligence and Machine Learning — Gauraangi Praakash · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS