Using Artificial Intelligence in Clinical Practice to Improve Human Health

Abstract

The goal of this literature review is to summarise the most important findings from recent studies on AI in healthcare settings. When it comes to solving difficult medical challenges, artificial intelligence has been a game-changer. Artificial intelligence's capacity to efficiently and accurately examine massive amounts of data is one of its most significant advantages in clinical practice. As a result, several apps have emerged, which has boosted patient outcomes and eased doctors' and nurses' workloads. Doctors may rely on AI to help them make better diagnosis and create personalised treatment strategies. Cardiology, surgery, gastroenterology, pneumology, nephrology, urology, dermatology, orthopaedics, neurology, gynaecology, ophthalmology, paediatrics, haematology, critically ill patients, and diagnostic methods are among the many medical specialities that demonstrate successful AI applications. Issues of accuracy, informed consent, data security, privacy, regulatory framework, product responsibility, explainability, and transparency are highlighted as important legal and ethical factors. Lastly, this study concludes by providing a critical evaluation of AI applications in clinical practice, as well as its potential future directions. Nevertheless, it is crucial to proceed with caution during its development and deployment to guarantee that ethical issues are fulfilled.