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@article{186643,
        author = {Shankar Murthy and Shreya G R and Sandhya D S and Ashwini K and Nagaraja Y.P},
        title = {ETHICAL CHALLENGES AND EVOLVING STRATEGIES IN THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE CLINICAL PRACTICE: AN OVERVIEW},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {3148-3153},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186643},
        abstract = {Artificial intelligence (AI) has rapidly transformed various sectors, including healthcare, where it holds the potential to transform clinical practice and improve patient outcomes. However, its integration into medical settings brings significant ethical challenges that need careful consideration. Artificial Intelligence (AI) has become a transformative force in healthcare, integrating computer science, engineering, biology, and data analytics to enhance medical diagnosis, treatment, and patient management. AI systems simulate human cognitive functions to assist in disease detection, drug discovery, personalized medicine, and public health management. Through applications such as machine learning, robotics, and clinical decision support systems, AI improves accuracy, efficiency, and accessibility in healthcare services. Despite its immense potential, AI adoption raises serious ethical challenges, including issues of safety, transparency, privacy, bias, discrimination, and accountability. Data breaches and algorithmic bias can compromise patient trust and lead to unequal healthcare outcomes. Moreover, challenges related to autonomy, fairness, and informed consent emerge due to opaque “black-box” algorithms. To address these concerns, researchers emphasize the ethical design and responsible implementation of AI, advocating for regulatory frameworks, multidisciplinary collaboration, and inclusion of diverse populations in AI development. Future research should focus on developing tools for ethical evaluation, integrating AI education into medical curricula, and ensuring trust-building mechanisms between AI systems and healthcare professionals. While AI continues to revolutionize healthcare, its responsible and transparent use is crucial to maintaining safety, equity, and human values in medical practice. This review underscores the need for a balanced approach leveraging AI’s technological power while safeguarding ethical principles to ensure that innovation in healthcare remains both effective and humane.},
        keywords = {Artificial Intelligence, clinical practice, ethical challenges, algorithmic bias, data privacy, transparency, health care in equality, regulatory frame work, patient trust.},
        month = {November},
        }