5 papers
Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? -- Case Study on Newborn Resuscitation
Enrico Guerriero, Kjersti Engan, Ãyvind Meinich-Bache
Accurate documentation of newborn resuscitation is essential for quality improvement and adherence to clinical guidelines, yet remains underutilized in practice. Previous work usin…
Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care
Jorge GarcÃa-Torres, Ãyvind Meinich-Bache, Sara Brunner +3
Around 10% of newborns require some help to initiate breathing, and 5\% need ventilation assistance. Accurate Time of Birth (ToB) documentation is essential for optimizing neonatal…
Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud
Ferhat Ozgur Catak, Chunming Rong, Ãyvind Meinich-Bache +2
This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and during newborn resuscitation, wit…
AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth
Jorge GarcÃa-Torres, Ãyvind Meinich-Bache, Siren Rettedal +1
Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. It is crucial that interventions are initiated as soon as possible after birth. Ac…
Advancing Newborn Care: Precise Birth Time Detection Using AI-Driven Thermal Imaging with Adaptive Normalization
Jorge GarcÃa-Torres, Ãyvind Meinich-Bache, Anders Johannessen +3
Around 5-10\% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from…