The Use Of Artificial Intelligence (Ai) For Radiation Risk Assessment In Abdominal Ct Scan

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Saud Awadh Saud Alotaibi
Saad Muhammad Saad Al Sumaylah
Rashed Abdullah Rashed Almheani
Khalid Sarhan Mohammed Al Qahtani
Mohamed Senhat Naser Aldoghalbi
Fahad Metlaa Awad Al Otaibi

Abstract

The use of artificial intelligence (AI) in radiation risk assessment for abdominal CT scans is rapidly evolving field that holds great promise for improving patient outcomes and reducing unnecessary exposure to ionizing radiation. This essay explores the current state of AI technology in context of radiation risk assessment, highlighting the potential benefits and challenges of integrating AI into clinical practice. By employing AI algorithms to analyze and interpret imaging data, radiologists can more accurately assess radiation risks associated with abdominal CT scans, leading to better-informed decisions about patient care. The utilization of AI in radiation risk assessment has the potential to revolutionize the field of radiology, offering a more personalized approach to patient care and ultimately improving patient outcomes.

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Author Biographies

Saud Awadh Saud Alotaibi

X-Ray technician, Al-Muzahmiya General Hospital

Saad Muhammad Saad Al Sumaylah

X-ray specialist, Childbirth and children in Al-Kharj

Rashed Abdullah Rashed Almheani

X-ray specialist, King Khalid Hospital in Al Kharj

Khalid Sarhan Mohammed Al Qahtani

X-ray specialist, King Khalid Hospital Al Kharj

Mohamed Senhat Naser Aldoghalbi

X-Ray technician, Al-Muzahmiya General Hospital

Fahad Metlaa Awad Al Otaibi

CT imaging specialist, King Khalid Hospital in Al Kharj