Name:YOUSIF HAMMAD ALSHAMMARI
Radiology technologist
Name: JASEM MOHAMMAD ALONAZY
Radiology technologist
Name: SALMAN GHASSAB ALMUTAIRI
Radiology technician
Name: ABDULAZIZ KHLEF ALANAZI
Radiology technologist
Name: BANDAR AYED ALRUHAIMI
Radiology technologist
Name: ABDULMOHSEN SULAIMAN ALMUTIB
Radiology technologist
Name: Khalid saad almajed
Radiology Technologist
Name: Faris abdullah alshahrani
Radiology Technologist
Name: Samiyah Moqhim Almutairi
Radiological Technology
The Impact of Artificial Intelligence on Radiology Diagnosis and Treatment
Abstract
This research paper delves into the integration of artificial intelligence (AI) technology in radiology and its implications for healthcare delivery. By examining existing literatureand studies, the paper analyzes the benefits, challenges, and ethical considerations surrounding the use of AI in radiological practices. It explores how AI algorithms can enhance diagnostic accuracy and efficiency across various imaging modalities, such as X-ray, CT, MRI, and ultrasound. The paper also investigates the factors that influence the diagnostic performance of AI models, including sensitivity, specificity, and overall accuracy.
Additionally, it addresses the ethical and regulatory issues associated with AI implementation in healthcare, emphasizing the importance of mitigating algorithmic bias,ensuring transparency and fairness in AI algorithms, and upholding ethical standards to protect patient privacy and rights. Through a comprehensive review of past research, this paper provides valuable insights into the transformative potential of AI technology in radiology and offers practical recommendations for optimizing its integration to improve patient care outcomes.
Keywords: artificial intelligence, radiology, healthcare, diagnostic accuracy, ethical considerations,algorithmic bias, regulatory challenges, patient rights, imaging modalities
