• Dr. Deep Kumar Bangotra

Artificial Intelligence (AI) is rapidly transforming healthcare diagnostics by enabling faster, more accurate, and data-driven clinical decision-making. Through advanced technologies such as machine learning, deep learning, and natural language processing, AI systems can analyse large volumes of medical data, including imaging, electronic health records, and genomic information. These capabilities enhance early disease detection, improve diagnostic accuracy, and support personalized treatment planning. AI applications have shown significant promise in areas such as radiology, pathology, cardiology, and oncology, where precision and efficiency are critical. Despite these advancements, the integration of AI into healthcare diagnostics presents several challenges. Key concerns include data privacy and security, algorithmic bias, lack of transparency, and ethical accountability. Biased training datasets may result in unequal diagnostic outcomes across different population groups, while opaque decision-making processes reduce clinical trust and interpretability. Additionally, ethical issues such as informed consent, data ownership, and responsibility for diagnostic errors remain unresolved. This paper explores the opportunities, risks, and ethical implications associated with AI-driven diagnostic systems. A qualitative literature-based methodology is employed to analyse recent scholarly research and identify emerging trends, challenges, and best practices. The findings emphasize the need for balanced integration of AI technologies that support, rather than replace, human expertise. Establishing robust regulatory frameworks, ethical guidelines, and interdisciplinary collaboration is essential to ensure safe, transparent, and equitable adoption of AI in healthcare diagnostics.

Artificial Intelligence, Healthcare Diagnostics, Ethical Challenges, Machine Learning, Medical Decision-Making

"AI IN HEALTHCARE DIAGNOSTICS: OPPORTUNITIES, RISKS, AND ETHICAL CONCERNS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.b105-b111, January-2026, Available :http://www.jetir.org/papers/JETIR2601118.pdf

"AI IN HEALTHCARE DIAGNOSTICS: OPPORTUNITIES, RISKS, AND ETHICAL CONCERNS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppb105-b111, January-2026, Available at : http://www.jetir.org/papers/JETIR2601118.pdf