Role of Artificial Intelligence in Diagnostic Medicine

Artificial Intelligence (AI) is rapidly emerging as a transformative force in diagnostic medicine, reshaping how healthcare professionals detect and manage diseases. By leveraging sophisticated machine learning and deep learning algorithms, AI can efficiently analyse extensive datasets, including medical images and patient records, with exceptional speed and accuracy. This capability not only improves the precision of diagnoses but also aids in the early identification of conditions such as cancer and heart disease, leading to more tailored treatment strategies. Furthermore, AI tools are proving essential in minimizing human error and optimizing workflows, enabling healthcare providers to devote more time to patient care. As AI continues to be integrated into clinical practice, it promises to enhance patient outcomes while meeting the increasing demands placed on healthcare systems globally.

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Publication Details

Journal
International Journal of Research and Review in Applied Science Humanities and Technology
Published
2024-12-25
DOI
https://doi.org/10.71143/6vhwz717
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
1.42
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article

Role of Artificial Intelligence in Diagnostic Medicine

Rashi Sahay, Ajeet Singh, Muskan Aggarwal
2 citations
International Journal of Research and Review in Applied Science Humanities and Technology
Artificial Intelligence in Healthcare
1.42
article

Role of Artificial Intelligence in Diagnostic Medicine

Rashi Sahay, Ajeet Singh, Muskan Aggarwal
article en
2 citations

Abstract

Artificial Intelligence (AI) is rapidly emerging as a transformative force in diagnostic medicine, reshaping how healthcare professionals detect and manage diseases. By leveraging sophisticated machine learning and deep learning algorithms, AI can efficiently analyse extensive datasets, including medical images and patient records, with exceptional speed and accuracy. This capability not only improves the precision of diagnoses but also aids in the early identification of conditions such as cancer and heart disease, leading to more tailored treatment strategies. Furthermore, AI tools are proving essential in minimizing human error and optimizing workflows, enabling healthcare providers to devote more time to patient care. As AI continues to be integrated into clinical practice, it promises to enhance patient outcomes while meeting the increasing demands placed on healthcare systems globally.

International Journal of Research and Review in Applied Science Humanities and Technology
Sanata Dharma University (ID), IFTM University (IN), Manav Rachna International Institute of Research and Studies (IN)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare
1.42
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