AI Helps Doctors Diagnose Diseases: How Machines Can Analyze Medical Data to Help Doctors Diagnose Diseases More Accurately

EasyChair Preprint 14836

Abstract

Artificial Intelligence (AI) is transforming the field of healthcare by enhancing the accuracy and efficiency of disease diagnosis. This paper explores how AI algorithms and machine learning techniques analyze various forms of medical data—such as imaging, lab results, and electronic health records—to assist doctors in diagnosing diseases more precisely. The integration of AI in medical diagnostics reduces human error, aids in early disease detection, and supports the identification of rare conditions. Specific applications of AI, including medical imaging analysis, pathology, and predictive analytics for chronic diseases, are examined to highlight its impact. Despite its advantages, AI in healthcare faces challenges such as data integration, algorithmic bias, and the need for diverse datasets. Looking ahead, AI holds promise for personalized medicine and improving global health, offering significant potential to complement and enhance the capabilities of medical professionals.

Keyphrases: AI in medical, Artificial Intelligence, Healthcare, diagnostics, human error

@booklet{EasyChair:14836,
  author    = {Docas Akinyele and Godwin Olaoye},
  title     = {AI Helps Doctors Diagnose Diseases: How Machines Can Analyze Medical Data to Help Doctors Diagnose Diseases More Accurately},
  howpublished = {EasyChair Preprint 14836},
  year      = {EasyChair, 2024}}