The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

Роль ИИ в больницах и клиниках: трансформация здравоохранения в XXI веке
Mohamad Forouzanfar, Shiva Maleki Varnosfaderani
2024-03-29

AI in hospitals and clinicsAI-powered wearablesclinical decision-makingdata privacy and bias mitigationmedical image analysis
As healthcare systems around the world face challenges such as escalating costs, limited access, and growing demand for personalized care, artificial intelligence (AI) is emerging as a key force for transformation. This review is motivated by the urgent need to harness AI's potential to mitigate these issues and aims to critically assess AI's integration in different healthcare domains. We explore how AI empowers clinical decision-making, optimizes hospital operation and management, refines medical image analysis, and revolutionizes patient care and monitoring through AI-powered wearables. Through several case studies, we review how AI has transformed specific healthcare domains and discuss the remaining challenges and possible solutions. Additionally, we will discuss methodologies for assessing AI healthcare solutions, ethical challenges of AI deployment, and the importance of data privacy and bias mitigation for responsible technology use. By presenting a critical assessment of AI's transformative potential, this review equips researchers with a deeper understanding of AI's current and future impact on healthcare. It encourages an interdisciplinary dialogue between researchers, clinicians, and technologists to navigate the complexities of AI implementation, fostering the development of AI-driven solutions that prioritize ethical standards, equity, and a patient-centered approach.
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AI empowers clinical decision-making, optimizes hospital operations and management, and refines medical image analysis.
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AI is emerging as a key force to transform healthcare by addressing escalating costs, limited access, and demand for personalized care.
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AI-powered wearables are revolutionizing patient care and monitoring, enabling continuous and personalized health tracking.
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Interdisciplinary collaboration among researchers, clinicians, and technologists is essential to implement AI solutions that prioritize ethics, equity, and patient-centered care.
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The review identifies remaining challenges for AI in healthcare—ethical issues, data privacy, and bias mitigation—and discusses possible solutions and assessment methodologies.

Artificial intelligence (AI) integration in hospitals and clinics

The impact and role of AI on clinical decision-making, hospital operations and management, medical image analysis, patient care and monitoring (including AI-powered wearables), plus assessment methodologies, ethical challenges, data privacy, and bias mitigation for responsible deployment

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2024-03-29
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Mohamad Forouzanfar
Shiva Maleki Varnosfaderani
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