Artificial Intelligence (AI) is a phrase that can be found in practically every business, not just in manufacturing and logistics but also in education, cybersecurity, and many other areas. AI in healthcare was once misunderstood as a competitor to medical experts, but it is today recognized as a second helping hand of professionals that never rests. Artificial Intelligence (AI) in medical diagnostics and healthcare, with its aid and efficiency, gives dependable support to overworked medical practitioners and institutions, reducing workload pressure and increasing practitioner efficiency.   

According to research by the Institute of Medicine of the National Academies of Science, Engineering, and Medicine (NASEM), diagnostic errors cause around 10% of patient deaths. They account for almost 17% of hospital problems. However, NASEM said that these challenges are not caused by professional ignorance but rather by a combination of variables such as ineffective communication between patients and organizations, human mistakes, and others. 

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