Impact of AI in Healthcare: Diagnostic and Therapeutic Prospective

Abstract

Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering significant improvements in diagnostic accuracy and therapeutic decision-making (Esteva et al., 2017; Topol, 2019). This study examines the impact of AI technologies on modern healthcare systems from both diagnostic and therapeutic prospectives. A comprehensive review of recent literature and clinical case studies was conducted to evaluate how AI-based tools such as machine learning algorithms, medical imaging analysis systems and predictive model enhance early disease detection, treatment planning and patient outcomes(Rajpurkar et al., 2022). Findings indicate that AI can substantially improve diagnostic precision, reduce human error, and enable personalized treatment strategies, particularly in fields such as radiology, oncology and cardiology(Esteva et al., 2017). However, challenges remain regarding data privacy, algorithmic bias and integration into clinical workflows (Topol, 2019). Overall, the study highlights that although AI presents remarkable opportunities to advance healthcare, careful regulation and ethical implementation are essential to maximize its benefits and ensure safe, equitable patient care (Rajpurkar et al., 2022).

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