Paper Infomation
Trends and Challenges in the Application of Artificial Intelligence in the Healthcare Sector
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Author: Shuntao Tang, Wei Chen
Abstract: The integration of Artificial Intelligence (AI) in healthcare is setting the stage for a transformative shift in how patient care is delivered, research is conducted, and operations are managed. Propelled by the exponential growth of data, computational advancements, and AI innovations, this integration promises a new era of precision medicine with highly personalized and effective treatment strategies. However, the journey towards seamlessly embedding AI into healthcare systems is complex, marked by challenges such as ensuring data privacy and security, addressing ethical considerations, and overcoming barriers to technology integration and adoption. This paper delves into the current trends driving AI in healthcare, including machine learning, natural language processing, robotics, and the Internet of Medical Things, while also tackling the significant challenges these innovations present. It further explores strategies for navigating these obstacles, aiming to pave the way for the successful adoption of AI technologies that enhance healthcare delivery and patient outcomes. In doing so, this work underscores the critical role of collaborative efforts among stakeholders and the need for robust frameworks to ensure AI's ethical, secure, and effective integration into healthcare.
Keywords: Artificial Intelligence, Healthcare, Precision Medicine, Challenges, Strategies
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