6 papers · 1 filter
From Restless to Contextual: A Thresholding Bandit Reformulation For Finite-horizon Improvement
Jiamin Xu, Ivan Nazarov, Aditya Rastogi +2
This paper addresses the poor finite-horizon performance of existing online \emph{restless bandit} (RB) algorithms, which stems from the prohibitive sample complexity of learning a…
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos, Florian Leiser, Aditya Rastogi +6
The joint implementation of federated learning (FL) and explainable artificial intelligence (XAI) could allow training models from distributed data and explaining their inner worki…
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
Ãfrica Periáñez, Ana Fernández del RÃo, Ivan Nazarov +4
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health a…
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
Ana Fernández del RÃo, Michael Brennan Leong, Paulo Saraiva +5
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization. We explore a case study wit…
Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services
Ana Fernández del RÃo, Michael Brennan Leong, Paulo Saraiva +5
Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries. Procuring pharmacists with the right behavioral interventions or nudges can enhance…
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
Ãfrica Periáñez, Kathrin Schmitz, Lazola Makhupula +6
By providing evidence-based clinical decision support, digital tools and electronic health records can revolutionize patient management, especially in resource-poor settings where…