The Impact of Artificial Intelligence on the Daily Responsibilities of Family Doctors: A Comprehensive Review of Current Knowledge
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Abstract
This comprehensive review examines the impact of Artificial Intelligence (AI) on family medicine, focusing on its potential to improve diagnostic accuracy, optimize treatment, and enhance administrative efficiency. Analyzing literature from 2019 to 2024, the study highlights the use of AI applications, including machine learning, natural language processing (NLP), and clinical decision support systems (CDSS), in streamlining workflows, predicting health risks, and personalizing patient care. Key findings reveal significant benefits like reduced diagnostic errors, automated documentation, and proactive management of chronic conditions. However, considerable challenges remain, including algorithmic bias, data privacy concerns, limited explainability of AI outputs, and disparities in implementation across healthcare settings. Ethical considerations—such as equity, clinician autonomy, and patient trust—are emphasized as essential for the sustainable integration of these practices. The review concludes that while AI holds transformative potential for family medicine, its future success depends on collaborative design with clinicians, rigorous validation in primary care, and the establishment of ethical frameworks to ensure equitable and patient-centered adoption.
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Copyright (c) 2025 Mohammad A, et al.
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