Name:Najla Hammed aljabri
Name: Ahad Ahmed Mubarak Aloufi
Name:Amjad Ali Hassan Abukhammas
Name:Ayman mostafa alsaeedi
Name:Areej Abdullah Alharbi
Name:Abeer hassan ali barnawi
Name:Jawaher Ali Obaidallah Almalki
Name: Ahmed Mohammednoor kedah
Name:HAWAZIN SAEED ADAM
Name:Faisal Fawzi Selamee
Name:Raghad Sabri I Gadah
Name:Nouf Jafar Hudayf Alqahtani
Advances in artificial intelligence-assisted imaging for early detection of cancer
Abstract:
This research explores the role of artificial intelligence (AI)-assisted imaging in the early detection of cancer, a critical area that has shown significant promise in improving patient outcomes through timely intervention. AI has the potential to transform medical imaging by enabling more precise and efficient detection of cancer at its earliest stages, particularly in identifying abnormalities such as tumors and lesions in medical images like CT scans, MRIs, and X-rays. By focusing on the effectiveness of various AI algorithms, the study aims to evaluate their accuracy in detecting signs of cancer and investigate the challenges associated with implementing these technologies into clinical settings. The research will examine the integration of AI tools and their feasibility in routine medical practices, considering factors such as technological limitations, ethical concerns, and the required infrastructure. Ultimately, the goal is to assess how AI-assisted imaging can enhance early diagnosis, improve treatment planning, and contribute to better patient outcomes by facilitating faster and more accurate identification of cancer.
Keywords: Artificial Intelligence, Early Detection, Cancer Imaging, Medical Imaging, Diagnostic Accuracy, Machine Learning.
