Publications by authors named "Elisenda Bonet"
Article Synopsis
- Most AI advancements in healthcare have primarily taken place in wealthy countries, creating a gap in low-resource areas like Sub-Saharan Africa, where high perinatal mortality rates could be alleviated with better medical imaging.
- Deep learning models have been proposed for fetal ultrasound diagnosis, but their effectiveness in resource-poor settings remains unproven due to different equipment and data availability.
- This research explores ways to adapt high-resource AI models for low-resource environments, demonstrating that transfer learning can improve model performance in African countries by combining small local samples with larger datasets from developed nations.
