Implication of AI Technologies in Improving the Diagnosis of Breast Cancer Within the Pakistani Healthcare System
Dr. Hamna Akhlaq
Dr Muhammad Rizwan
Zubia Begum
Dr Safia Abidi
Dr Abdul Momin Rizwan Ahmad
Dr Sumreen Mujahid
Abstract
Background: Breast cancer is the one of the main causes of deaths among women worldwide.
Objective: The study aims to evaluate the implication of AI technologies in improving the diagnosis of breast cancer within the Pakistani healthcare system.
Methods: A cross-sectional survey was conducted from June to December 2023, involving 380 physicians through a convenience sampling technique. Participants were recruited via a Google Drive questionnaire. The study received ethical approval, and all participants provided informed consent. Data were analyzed using SPSS version 23 for descriptive statistical analysis.
Results: The questionnaire was emailed to a total of 380 physicians. Out of which 106 (27.8%) participants agreed that the implication of AI in breast cancer would benefit their field of expertise moderately whereas 121 (31%) expected this improvement to be significant. Almost 153 (40%) respondents cited 'quick diagnosis' as the most significant benefit of AI.
Conclusion: Artificial intelligence has revolutionized breast cancer management by enhancing early diagnosis, diagnostic accuracy, risk assessment, personalized treatments, and predictive analytics.