A COMPREHENSIVE REVIEW OF ARTIFICIAL INTELLIGENCE INTEGRATION IN HEALTHCARE: OPPORTUNITIES, CHALLENGES, AND ETHICAL CONSIDERATIONS
Malyala Sanjana*
ABSTRACT
Artificial Intelligence is rapidly transforming healthcare by improving diagnostic accuracy, enhancing treatment
protocols, and streamlining administrative processes. However, its integration into healthcare systems raises
significant ethical, technical, and privacy challenges. Key concerns include the authenticity of AI-generated
medical references, data accessibility, and the potential for AI to exacerbate privacy breaches through electronic
health records. While AI has demonstrated higher diagnostic accuracy in certain fields, its accountability in case of
misdiagnosis remains a contentious issue, as AI cannot be held legally responsible like human practitioners.
Furthermore, the use of biased data sets in AI models has led to concerns about social inequities, which could
perpetuate discrimination in healthcare delivery. Despite these challenges, ongoing advancements in AI
governance, transparency, and model explainability are crucial to addressing these concerns. This review explores
the potential and limitations of AI in healthcare, with a focus on its impact on data privacy, clinical implementation, and the ethical implications in healthcare field.
Keywords: Artificial intelligence, Healthcare, Precision medicine, Diagnosis and Machine learning.
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