Implication of AI Technologies in Improving the Diagnosis of Breast Cancer Within the Pakistani Healthcare System
DOI:
https://doi.org/10.53555/ks.v12i4.3152Keywords:
Artificial Intelligence, Breast cancer, Early Diagnosis, ScreeningAbstract
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.
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Copyright (c) 2024 Dr Uzma Zareef, Dr. Hamna Akhlaq, Dr Muhammad Rizwan, Zubia Begum, Dr Safia Abidi, Dr Abdul Momin Rizwan Ahmad, Dr Sumreen Mujahid
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