Role of Artificial Intelligence in Diagnostic Medicine

Clicks: 114
ID: 283690
2024
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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.
Reference Key
Sahay2024internationalRole Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rashi Sahay;Ajeet Singh;Muskan Aggarwal;
Journal International Journal of Research and Review in Applied Science, Humanities, and Technology
Year 2024
DOI
118
URL
https://ijrasht.com/index.php/files/article/view/118
Keywords
artificial intelligence diagnostic medicine machine learning deep learning medical imaging predictive analytics

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