THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS

Artificial Intelligence (AI) is transforming the landscape of modern medical diagnostics by enhancing accuracy, speed, and accessibility of healthcare services. This article explores how AI technologies—such as machine learning, deep learning, and natural language processing—are being integrated into diagnostic systems to identify diseases ranging from cancer to cardiovascular conditions. The paper highlights real-world applications including AI-assisted imaging, pathology, and predictive analytics. Moreover, it discusses the benefits, such as reduced diagnostic errors and improved clinical workflows, while also addressing challenges related to data privacy, ethical considerations, and the need for robust validation. Ultimately, AI holds significant promise for augmenting physician capabilities and advancing precision medicine.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15433655
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS

article en

Abstract

Artificial Intelligence (AI) is transforming the landscape of modern medical diagnostics by enhancing accuracy, speed, and accessibility of healthcare services. This article explores how AI technologies—such as machine learning, deep learning, and natural language processing—are being integrated into diagnostic systems to identify diseases ranging from cancer to cardiovascular conditions. The paper highlights real-world applications including AI-assisted imaging, pathology, and predictive analytics. Moreover, it discusses the benefits, such as reduced diagnostic errors and improved clinical workflows, while also addressing challenges related to data privacy, ethical considerations, and the need for robust validation. Ultimately, AI holds significant promise for augmenting physician capabilities and advancing precision medicine.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Artificial Intelligence in Healthcare and Education
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