Advancing Digital Health using AI and Machine Learning Solutions for Early Ultrasonic Detection of Breast Disorders in Women

Majd Oteibi, Adam Tamimi, Kaneez Abbas, Gabriel Tamimi, Danesh Khazaei and Hadi Khazaei
Additional contact information
Majd Oteibi: Validus Institute Inc
Adam Tamimi: Validus Institute Inc
Kaneez Abbas: Athreya Med Tech
Gabriel Tamimi: Validus Institute Inc
Danesh Khazaei: Portland State University
Hadi Khazaei: Portland State University/ Athreya Med Tech

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 11, 518-527

Abstract: Background: Breast cancer is a significant global health concern accounting for 685,000 deaths in 2020 and 2.3 million cases worldwide. By 2070, the cases are expected to rise to 4.4 million, because it is usually discovered at a later stage when it is too late to help the patients. For the past two decades, innovations made in mobile health have improved the lives of people and accessibility in multiple disciplines. This abstract explores the feasibility of using a portable ultrasound device integrated with artificial intelligence (AI) technology for the purpose of early screening and detection of breast cancer in women living in remote and rural areas, between the ages of 18 years to 75 years. Intervention: Training healthcare professionals to use this portable ultrasound with the integration of AI technology will provide convenience and accuracy. This technology can provide high-resolution information regarding anatomic and tissue changes and holds promise for early detection of lumps in the breast. This is a critical screening and diagnostic tool for females living in rural and remote areas. The results will be compared with images of mammography testing for accuracy and patients will then be referred for further evaluation and biopsy of their lesions.

Date: 2024
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