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AI in Healthcare: Transforming Diagnosis and Treatment

EasyChair Preprint no. 12534

9 pagesDate: March 18, 2024


Artificial Intelligence (AI) is revolutionizing healthcare by transforming diagnosis and treatment processes. This paper explores the impact of AI on healthcare, focusing on its role in improving the accuracy and efficiency of diagnosis, personalizing treatment plans, and enhancing patient outcomes. Through a comprehensive review of existing literature and case studies, the paper examines the various applications of AI in healthcare, including medical imaging analysis, predictive analytics, and precision medicine. The analysis highlights the potential benefits of AI in terms of early disease detection, optimized treatment pathways, and reduced healthcare costs. Furthermore, the paper discusses the challenges and ethical considerations associated with the widespread adoption of AI in healthcare and offers recommendations for maximizing its potential while addressing potential risks.

Keyphrases: AI, Artificial Intelligence, diagnosis, Healthcare, Medical Imaging Analysis, precision medicine, Predictive Analytics, treatment

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {M Khan},
  title = {AI in Healthcare: Transforming Diagnosis and Treatment},
  howpublished = {EasyChair Preprint no. 12534},

  year = {EasyChair, 2024}}
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