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Review: the Transformative Synergy of AI and the Medical Field

EasyChair Preprint no. 10795

9 pagesDate: August 29, 2023


The intersection of Artificial Intelligence (AI) and the healthcare field has led to a paradigm shift in medical practices and patient outcomes. This abstract work presents an overview of the profound impact of AI on healthcare, encompassing diverse applications ranging from disease diagnosis and treatment optimization to administrative efficiency and patient engagement. Drawing upon a comprehensive review of the existing literature and recent developments, the transformative potential of AI in healthcare. The integration of machine learning, deep learning, and natural language processing techniques has enabled accurate and early disease detection, thereby enhanced diagnostic precision and expedited treatment initiation. Moreover, AI-driven predictive analytics leverage patient data to forecast disease risks and individual treatment responses, paving the way for personalized interventions and preventive strategies.

Keyphrases: AI, computer vision, machine learning, Medical Field

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mostafa Hesham},
  title = {Review: the Transformative Synergy of AI and the Medical Field},
  howpublished = {EasyChair Preprint no. 10795},

  year = {EasyChair, 2023}}
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