Role of Artificial Intelligence in Diagnostic Medicine

Authors

  • Rashi Sahay
  • Ajeet Singh
  • Muskan Aggarwal

Keywords:

Artificial Intelligence, Diagnostic Medicine , Machine Learning , Deep Learning, Medical Imaging, Predictive Analytics

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.

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Published

16-12-2024

How to Cite

Rashi Sahay, Ajeet Singh, & Muskan Aggarwal. (2024). Role of Artificial Intelligence in Diagnostic Medicine. International Journal of Research and Review in Applied Science, Humanities, and Technology, 1(2), 49-53. https://ijrasht.com/index.php/files/article/view/118

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