Artificial Intelligence in Healthcare

Abstract

Technology's impact on today's world cannot be overstated. Human work is made easier to manage and more productive by technological advancements. Errors attributable to human error have been reduced because of technological advancements in the healthcare sector. Artificial intelligence (AI) has the potential to impact the medical and healthcare industries significantly. The "quadruple goals" of healthcare include better population health, better care for individual patients, better care for individual caregivers, and lower overall healthcare expenses. To achieve these objectives, healthcare systems across the world face significant challenges. In this paper, we examine the existing use of AI in healthcare, outline a process for creating reliable, safe, and efficient AI systems, and make some educated guesses about their future. It was determined that AI plays a crucial role in medical decision-making, especially predictive analytics when it comes to diagnosing and treating patients and managing health services in general. The current study's findings outline the implications for policymakers and regulatory authorities. In addition to that, the last section outlines the future research directions.

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