Future Directions and Emerging Trends in Multimodal Al for Healthcare

Artificial Intelligence (AI) is being rapidly deployed in many aspects of healthcare, with both predictive and generative AI applications poised for continued expansion. These technologies show considerable promise in addressing critical healthcare challenges, such as offering clinical decision support based on predictive models of patient risk or streamlining administrative tasks for physician. However, as AI/ML tools become more ubiquitous, it is crucial to focus on how they are governed: how they are developed or selected, how the yared eployed andintegrated into clinical work flows ,and how their performance and impact on end point slik epatient care, health equity, and organizational efficiency are measured and monitored In this regard, the present study reviews the issue of Future Directions and Emerging Trends in Multimodal Al for Healthcare, According to studies, it can be said that The motivations driving the implementation of AI applications in healthcare are centered on enhancing patient outcomes, refining diagnostic accuracy, optimizing treatment plans, reducing healthcare expenses, enabling personalized medicine, and facilitating improved resource allocation and management. The strengths of AI applications in healthcare primarily revolve around enhancing patient outcomes and overall healthcare system efficiency.

کلیدواژه ها:

Artificial Intelligence ، healthcare ، Multimodal Al ، Emerging Trends