Paper Contents
Abstract
Artificial Intelligence (AI) is transforming healthcare by improving patient care, diagnosis, treatment, and administrative tasks. Tools like predictive analytics and machine learning enhance diagnostic accuracy, forecast disease outbreaks, and support personalized treatment. However, these advancements raise ethical concerns, especially around data privacy, informed consent, algorithmic bias, accountability, and the evolving doctor-patient relationship. One major issue is biased data, which can exclude marginalized groups and lead to unequal healthcare outcomes. Another concern is the "black box" problem, where healthcare professionals may not understand how AI systems arrive at their decisions, making it difficult to trust or explain treatment recommendations. The increasing involvement of AI in clinical decision-making raises moral questions about whether it is appropriate for machines to influence life-impacting choices. Relying on AI in this way challenges patient rights and the responsibilities of medical practitioners. To address these issues, the article emphasizes the importance of transparency, fairness, and accountability in AI development and use. It calls for collaboration among technologists, healthcare professionals, ethicists, and policymakers to ensure AI remains human-centered. Ultimately, while AI has the potential to revolutionize healthcare, its deployment must prioritize ethical standards and maintain patient trust to ensure responsible and equitable outcomes.
Copyright
Copyright © 2025 Rishikumar Parimal Mandal. This is an open access article distributed under the Creative Commons Attribution License.
