AI in healthcare: challenges and opportunities

Abstract

Artificial intelligence (AI) is the part of computer science which focuses on developing automated advanced technologies that can execute specific tasks that would normally require human knowledge. AI is a particular concept of science with many unique methods and advanced machine learning techniques which has effected fundamental changes in nearly almost all fields of the technology sector. AI can be classified into two parts, the first is narrow AI, which is always based on executing tasks in the correct way, and although certain systems appear smart, there are some constraints and limitations. The second is artificial general intelligence (AGI) which describes a device that has intellectual ability and which can use that ability to make improvements, in much the same was as a human. Healthcare 4.0 is about collecting massive quantities of data and bringing them to use in apps, aiming for better health business decisions as well as huge cost reductions and control of those costs. Virtual assistants can respond to questions, track patients, and have fast responses because they are available 24/7. Today, many personal assistant apps allow for more contact among patients and healthcare providers during doctors' visits, reducing the risk of readmission to the clinic or repeated medical visits. The world has been struggling greatly with the COVID-19 pandemic, although each step of advanced technical knowledge and creative problem solving is bringing us closer to ending this global situation. Both machine learning and artificial intelligence are helping to solve the problems caused by COVID-19 and to rid society of this pandemic. Machine learning allows advanced technologies to imitate humans, and consumes vast amounts of data in order to recognize technical patterns and perceptions rapidly. Institutions were fast to implement machine learning abilities in the battle against COVID-19 in many ways, including scaling consumer interactions, identifying how COVID-19 grows, and speeding up testing and diagnosis.Many of these trends are converging, including data collection, increased AI usage, and the implementation of web apps. As a result of the emphasis on implementation and transformation, health services are becoming much more reliable. Such programs will be capable of transforming multiple stages of medication, as well as smart devices and the change to personalized medicine (PM). We address herein a number of AI challenges and opportunities in healthcare, which could help experts and stakeholders in taking the best possible decisions.