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Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
This study highlights the potential of SE as a key safeguard in the responsible deployment of AI-driven tools in women's health, leading to safer and more effective digital health interventions.
PatchCTG: Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring
Antepartum Cardiotocography (CTG) is vital for fetal health monitoring, but traditional methods like the Dawes-Redman system are often limited by high inter-observer variability, leading to inconsistent interpretations and potential misdiagnoses.
The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
The rapid advancement of Artificial Intelligence (AI) in healthcare presents a unique opportunity for advancements in obstetric care, particularly through the analysis of cardiotocography (CTG) for fetal monitoring.
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