New research led by graduate researcher Samantha Tudor, has examined the challenges and opportunities of using artificial intelligence (AI) to predict clinical outcomes and length of stay in Neonatal Intensive Care Units (NICUs).
“AI is increasingly being explored in neonatal care, drawing on clinical data, physiological monitoring and medical imaging,” she says.
Samantha’s research brings together technical, clinical and ethical perspectives to assess the current state of AI in NICUs.
While the findings suggest AI has the potential to improve risk stratification and support clinical decision-making, Samantha says that most existing models are not yet ready for routine clinical use.
“The study highlights the need for larger, multicentre datasets, stronger validation, improved interpretability, and greater attention to ethical and governance issues,” she says.
“Our next step will be to focus on translating AI research into real-world neonatal care. This includes supporting collaboration between clinicians, researchers and industry to ensure AI tools are informed by high-quality physiological data, align with clinical workflows and meet ethical and regulatory requirements.”
