Vision-language models for decoding provider attention during neonatal resuscitation

arXiv:2404.01207v1 Announce Type: new
Abstract: Neonatal resuscitations demand an exceptional level of attentiveness from providers, who must process multiple streams of information simultaneously. Gaze strongly influences decision making; thus, understanding where a provider is looking during neonatal resuscitations could inform provider training, enhance real-time decision support, and improve the design of delivery rooms and neonatal intensive care units (NICUs). Current approaches to quantifying neonatal providers' gaze rely on manual coding or simulations, which limit scalability and utility. Here, we introduce …

abstract arxiv attention cs.cv decision decision making decision support decoding demand design information language language models making multiple process provider real-time support training type understanding vision vision-language models