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Influence of AI on Healthcare Delivery

EasyChair Preprint no. 12829

9 pagesDate: March 29, 2024


Artificial intelligence (AI) has emerged as a powerful tool with immense potential to revolutionize healthcare delivery. The integration of AI technology in healthcare systems has the ability to enhance efficiency, accuracy, and patient outcomes. This abstract explores the influence of AI on healthcare delivery by discussing its impact in various areas of healthcare, including diagnostics, treatment planning, patient monitoring, and administrative tasks.

AI has significantly transformed the field of diagnostics by enabling more precise and timely detection of diseases. Advanced machine learning algorithms can analyze vast amounts of medical data, such as medical images, genomics, and electronic health records, to aid in the early detection and diagnosis of various conditions. This can lead to faster and more accurate diagnoses, allowing for timely intervention and improved patient outcomes.

In treatment planning, AI algorithms can analyze patient data and recommend personalized treatment strategies. By considering factors such as medical history, genetic information, and treatment response data from similar cases, AI systems can assist healthcare professionals in making informed decisions about treatment options. This can help optimize treatment plans, reduce errors, and improve patient safety.

Keyphrases: Artificial, Healthcare, tech

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Favour Olaoye and Lucas Doris and Kaledio Potter},
  title = {Influence of AI on Healthcare Delivery},
  howpublished = {EasyChair Preprint no. 12829},

  year = {EasyChair, 2024}}
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