Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Abstract Machine learning (ML) refers to computational algorithms that iteratively improve
their ability to recognize patterns in data. The digitization of our healthcare infrastructure is …

Internal medicine physicians are increasingly interacting with systems that implement
artificial intelligence (AI) and machine learning (ML) technologies. Some physicians and …

Background: Since OpenAI released ChatGPT, with its strong capability in handling natural
tasks and its user-friendly interface, it has garnered significant attention. Objective: A …

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …

Importance Algorithms are commonly incorporated into health care decision tools used by
health systems and payers and thus affect quality of care, access, and health outcomes …

Medical artificial intelligence (AI) has enormous potential to transform medicine 1. Over 521
medical devices enabled by AI or machine learning have been approved for use in the USA …

Artificial Intelligence (AI) represents a significant milestone in health care's digital
transformation. However, traditional health care education and training often lack digital …

In contemporary time the uprising in terms of healthcare administration is quite acceptable
with enablement of technologies like Artificial Intelligence, Machine Learning, Deep …

Physicians are increasingly able to use artificial intelligence (AI) systems to aid their medical
decision-making. This paper examines a physician's decision regarding whether to use an …