Compaore, Souleymane (A.A. 2024/2025) How can AI-powered tools like Ubenwa improve neonatal care by enabling early detection of life-threatening conditions such as birth asphyxia? Tesi di Laurea in International operations and global supply chain, Luiss Guido Carli, relatore Lorenza Morandini, pp. 76. [Master's Degree Thesis]

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Abstract/Index

Literature review. Background: hospital governance and AI. The present challenges of hospital governance. Artificial intelligence as a change catalyst in healthcare. Artificial intelligence for optimizing hospital workflows. Applications of AI in hospital management. The types of artificial intelligence in healthcare. Administrative efficiency. Clinical operations. Patient engagement. Optimizing care through AI. Data-driven decision making. Principles of personalized treatment algorithm. Enhancement of patient outcomes. Applications of AI compared to traditional methods. Challenges, limitations and ethical considerations. Technical and infrastructural challenges. Human and organizational resistance. Limitations of AI algorithms. Major ethical considerations. Strategies for responsible integration. Case studies. Emerging technologies and recommendations for the future of artificial intelligence in healthcare. Emerging technologies for the future of artificial intelligence in healthcare.

References

Bibliografia: pp. 73-75.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	International operations and global supply chain
Thesis Supervisor:	Morandini, Lorenza
Thesis Co-Supervisor:	Spagnoletti, Paolo
Academic Year:	2024/2025
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	10 Feb 2026 14:37
Last Modified:	10 Feb 2026 14:37
URI:	https://tesi.luiss.it/id/eprint/44761

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