Artificial Intelligence: Clinical Applications in Medical Field

Abstract

Artificial intelligence is proven to be the technology that is changing the 21st century across many fields, including healthcare, finance, and education. The journey of AI has had many glorious footsteps leading to its current status and future potential. AI is gradually taking over how things are done in real life, such as the provision of accurate diagnostics, personalizing treatments, and making administrative workflows efficient. Currently, surgical Artificial Intelligence (AI) is in the fast lane of evolution with innovations in machine learning (ML), analytics, and robotics. In this review, we touch on the overall development of AI, its historical background, and the most recent advances that have appeared in this area while also summarizing the most recent research findings on its clinical application for diagnosis and treatment support in different medical fields, including diagnostics, imaging, decision-making during surgery, and caring for the patients as well as locating the knowledge gaps and suggesting future research directions.

Keywords:

Artificial Intelligence, Medical Field, Diagnosis, Treatment

References

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