Artificial intelligence in healthcare : balancing automation and human oversight

Abstract

Artificial Intelligence (AI) endeavors to replicate human cognitive functions, heralding a transformative era in healthcare. This evolution is propelled by the increasing abundance of healthcare data and the rapid advancements in analytic techniques. This article delves into the present landscape of AI within healthcare, exploring its diverse applications and contemplating its future trajectory, with keynotes on current policies, disadvantages, advantages and ethical conundrums it brings to the field. AI's versatility is demonstrated through its application to a spectrum of healthcare data such as computer vision and providing suggestions. Within the realm of healthcare, AI is prominently deployed in key disease areas such as cancer, neurology, and radiology. This article further delves into the possibilities of AI applications in detection and diagnosis, treatment strategies, as well as outcome prediction and prognosis evaluation (as a tool for the physician). Despite these advancements, challenges persist in the practical implementation of AI in real-world healthcare scenarios. This article brings up original ethical arguments supported by other experts in the field who share the same concerns particularly about accountability. In conclusion, the hurdles and considerations necessary for effective deployment of AI solutions in healthcare as well as arising limitations are discussed; primarily through updating policies, adding new ones or working around already established ones.