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Found 9 papers, 2 papers with code
From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance
Online restless bandits extend classic contextual bandits by incorporating state transitions and budget constraints, representing each agent as a Markov Decision Process (MDP).
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice.
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
The joint implementation of Federated learning (FL) and Explainable artificial intelligence (XAI) will allow training models from distributed data and explaining their inner workings while preserving important aspects of privacy.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
The flexibility of this platform to connect to various mobile health applications and digital devices and send personalized recommendations based on past data and predictions can significantly improve the impact of digital tools on health system outcomes.
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization.
Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services
Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries.
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
By providing evidence-based clinical decision support, digital tools and electronic health records can revolutionize patient management, especially in resource-poor settings where fewer health workers are available and often need more training.
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
Gliomas are the most common malignant primary brain tumors in adults and one of the deadliest types of cancer.
Synthetic Data Generator for Adaptive Interventions in Global Health
Artificial Intelligence and digital health have the potential to transform global health.
