Artificial Intelligence in Healthcare: Transforming Diagnosis, Treatment, and Patient Care.

Abstract: Artificial intelligence (AI) is quickly becoming an important presence across a spectrum of areas and perhaps has one of the greatest impact in health care. This paper presents a review of the literature related to the utilization of AI technologies in health care particularly in relation to diagnosis, treatment, patient monitoring, efficiency in work processes and ethical considerations. We conduct a scoping review of the literature, synthesizing the main findings relating to potential gain and barriers to implementation of AI in health care practice. The findings suggest a strong role for AI in enhancement of diagnostic accuracy, efficiency, and personalized treatment. Meanwhile challenges of equity and algorithmic bias, data privacy and regulation particularly will need to be overcome prior to more widespread AI integration into practice. In conclusion, there is opportunity for AI to change the landscape of health care, yet the sustainability of this will depend on sound governance, ethical frameworks and contributions to interprofessional practice across fields.

Keywords: Artificial Intelligence, Healthcare, Machine Learning, Medical Imaging, Predictive Analytics, Drug Discovery, Patient Monitoring, Ethics in AI.