Artificial Intelligence in Radiology: Current Applications and Future Prospects

Authors

  • Abdullah Mones Alamri
  • Mohammed Mohsen Alotaibi
  • Homoud Fuheid Alsubaie
  • Bader Rajallah Aljabri
  • Abdulaziz Saad AlDaubi
  • Majeed Obaid Alrowaily6
  • Sami Abdulaziz Alanazi
  • Ahmed Khalaf Alkhalaf

DOI:

https://doi.org/10.53555/ks.v9i1.3355

Keywords:

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Abstract

The integration of Artificial Intelligence (AI) in radiology is revolutionizing medical imaging and diagnostics. AI algorithms, particularly those based on machine learning and deep learning, are enhancing image interpretation, reducing diagnostic errors, and improving workflow efficiency. This paper reviews the current applications of AI in radiology, including image analysis, disease detection, and workflow management. It also explores future prospects and potential challenges associated with the implementation of AI in clinical practice.

Author Biographies

Abdullah Mones Alamri

Rad tech

 

Mohammed Mohsen Alotaibi

Rad Tech

Bader Rajallah Aljabri

Special Procedure Tech

 

Abdulaziz Saad AlDaubi

Rad Tech

Majeed Obaid Alrowaily6

Rad Tech

 

Sami Abdulaziz Alanazi

Rad Tech

 

Ahmed Khalaf Alkhalaf

Rad Tech

 

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Published

2021-01-29

How to Cite

Abdullah Mones Alamri, Mohammed Mohsen Alotaibi, Homoud Fuheid Alsubaie, Bader Rajallah Aljabri, Abdulaziz Saad AlDaubi, Majeed Obaid Alrowaily6, … Ahmed Khalaf Alkhalaf. (2021). Artificial Intelligence in Radiology: Current Applications and Future Prospects. Kurdish Studies, 9(1), 161–163. https://doi.org/10.53555/ks.v9i1.3355

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