Trends, challenges and opportunities of artificial intelligence in healthcare
by Sumit Kumar; T.V. Vijay Kumar
International Journal of Electronic Healthcare (IJEH), Vol. 14, No. 1, 2024

Abstract: Over the past few decades, the global healthcare system has inducted several key technologies in order to provide improved health services in various medical fields. Although expenditure in the healthcare sector has been rising exponentially, there is little or no significant improvement in the health outcomes. The present healthcare system generates a large amount of structured and unstructured data in the form of lab tests, blood pressure readings, medical images, genomic data, and other health related data generated by various physiologic monitoring devices. Processing and analysing such data would likely consume a lot of time and the resultant diagnosis could also be error prone. An alternative way to process and analyse such data is by using artificial intelligence, which recently has emerged as one of the most prominent technologies in the current era of the fourth industrial revolution. AI, unlike human physicians, can provide clinically more relevant results in specific healthcare tasks such as diagnosing various diseases, spotting tumours, and analysing high resolution healthcare images produced in domains like cardiology, dermatology, pathology, radiology, and ophthalmology. This paper focuses on recent advancements and applications of AI in healthcare, especially in medical image analysis. Also, the paper outlines the challenges faced by AI vis-à-vis healthcare and identifies the opportunities that it provides in the healthcare domain.

Online publication date: Mon, 22-Jul-2024

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