AI and Machine Learning in Medical Imaging

Authors

  • Evie Morris
  • Casey Jackson
  • Quinn Jones

Keywords:

AI, machine learning, medical imaging, diagnostics, technology integration

Abstract

This study evaluates the application of AI and machine learning technologies in medical imaging. Focusing on their role in enhancing diagnostic accuracy, the research analyzes data from various healthcare institutions in Europe. It assesses the potential benefits and challenges of integrating these technologies into routine clinical practice. The article provides recommendations for the development and implementation of AI-driven imaging solutions to improve patient care.

Author Biographies

Evie Morris

Ph.D. in Computer Science
University of Cambridge
The Old Schools, Trinity Ln, Cambridge CB2 1TN, United Kingdom

Casey Jackson

M.D.
Odessa National Medical University
Valikhovskiy Lane, 2, Odesa, Odesa Oblast, 65000, Ukraine

Quinn Jones

M.Sc. in Medical Informatics
University of Amsterdam
Spui 21, 1012 WX Amsterdam, Netherlands

References

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Крамний, І. О., Бортний, М. О., Вороньжев, І. О., & Чурилін, Р. Ю. (2006). Рентгенодіагностика гострих захворювань органів дихання у дітей. Х.: Крокус, 105-142.

Published

2024-12-17

Issue

Section

Articles