The NewbornTime project is about improved newborn care by using artificial intelligence (AI) for activity and event recognition in video from the time during and after birth.
The project is funded by NRC (project no. 320968, IKTPLUSS Collaborative and Knowledge-building Project), Fondation Idella and Helse Vest.
University of Stavanger (lead), Stavanger University Hospital (SUS), Laerdal Medical and bitYoga.
2 million – the number of newborn babies who could be saved each year if we end preventable newborn mortality.
Deprivation of oxygen to an infant during and after birth might lead to birth asphyxia, one of the leading causes of newborn deaths, cerebral palsy and other long-term damage. According to guidelines, a newborn in need of help to start breathing should be resuscitated immediately after birth. Resuscitation activities include stimulating, clearing airways, and perform bag-mask-ventilation. In Norway, approximately 10% of term infants need stimulation and around 3% need bag-mask ventilation.
NewbornTime will produce a timeline describing events and activities performed on a newborn. Accurate time of birth will be detected using AI models from thermal videos collected in the delivery room. Activity recognition will be performed using AI in the form of deep convolutional neural networks (CNN) on thermal and RGB video from the resuscitation. The system will be designed to recognize multiple time-overlapping activities. Care will be given to make the AI models robust, reliable, general, and adaptive to be able to use it at different hospitals and settings. The timelines will be used to evaluate compliance to guidelines and identify successful resuscitation activity patterns. It can further be useful in a de-briefing and quality improvement tool.
The project is a collaboration between University of Stavanger (UiS), Stavanger University Hospital (SUS), Laerdal Medical and BitYoga. UiS, SUS and Laerdal has long experience in collaborative research on newborn care. They have documented promising results on detecting activities using resuscitation videos from a hospital in Tanzania. In NewbornTime the data collection will be performed at SUS. BitYoga and Laerdal will ensure smart GDPR compliant data-contracts and data-platforms. UiS will develop site-adaptive AI methods for activity recognition in video.
Information page for participants: In English and in Norwegian.
Workshop on newborn resuscitation
University of Stavanger and Stavanger university hospital arranged a workshop Friday December 3rd.
Date: 3 December 2021
Location: University of Stavanger, Kjølv Egelands building (KE) Room E-102
The workshop is open to the public, anyone can come to the general program from 10:00-11:50 and 12:30-13:40, no registration necessary. It is also possible to follow the workshop remotely by joining the zoom link:
https://stavanger.zoom.us/j/61488421368?pwd=c1daQ25qWWRJZk9Kcm1MNUlwRmc1Zz09
Meeting ID: 614 8842 1368 , password: 400656
Program
10:00-10:05 Welcome
10:05-10:35 Hege Ersdal (SUS): Updated newborn resuscitation guidelines and Safer Births studies
10:35-10:50 Jørgen Linde (SUS): Research project in Tanzania – transfer value to newborn resuscitation in Norway
10:50-11:05 Discussion and small break
11:05-11:20 Siren Rettedal (SUS): Safer Births SUS – which knowledge gaps are we addressing and results so far
11:20-11:40 Joanna Haynes (SUS): Newborn simulation research at SUS – what did we learn from the studies?
11:40-11:50 Open discussion
11:50-12:30 Lunch (only for partners and presenters)
12:30-12:45 Kjersti Engan (UiS): NewbornTime – short about project and status
12:45-13:00 Chunming Rong (BitYoga): Digital consent solution and data security
13:00-13:15 Sara Brunner (Laerdal Med.): Semi-automatic data collection: how it all works
13:15-13:30 Helge Myklebust (Laerdal Med.): Experience gained using objective data from resuscitations
13:30-13:40 Siren Rettedal (SUS): Subproject funded: “NewbornTime Debrief and Simulation – Making Every Resuscitation a Learning Event”
13:40-14:10 Partners only (closed meeting); Planning ahead for NewbornTime: publications, abstracts, data collection etc.
14:10-15:00 Partners only (closed meeting); Open discussion
NewbornTime in the news
Håper å redde flere barn
Dagsrevyen 21
Approvals and recommendations
In this section you can find all communication with the regional ethical committee and Norwegian Centre for Research Data.
Communications and approvals from REK – Regional Ethical committee, REK nr. 22245
Communication and recommendations from NSD – Norwegian Centre for Research Data, NSD nr. 816989
We will push the research front in robust and adaptive Artificial Intelligence (AI) for activity recognition from video and thermal video analysis. We will develop automated systems useful for research, debriefing and feedback on newborn care around time of birth. NewbornTime means AI for safer births.
NewbornTime is making every resuscitation a learning event. We want to build a culture for continuous data-driven quality improvement.
This project will develop important, new technology to automate consent and data analysis. It will reduce the workload in the hospital and the new data will guide quality improvement. To make births safer.
BitYoga develops a Consent Management Platform for NewbornTime based on blockchain technology, reliable communication protocol and encryption, protecting user data in an absolutely secure manner.
Informasjon til ansatte på SUS berørt av datainnsamlingen
Lurer du på noe om vår innsamling av data? Her finner du presentasjoner og informasjonsskriv.
Invitasjon til informasjons- og dialogmøte ble sendt ut til alle ansatte ved SUS som kan være berørt av datainnsamlingen i NewbornTime. Møtet ble avholdt 24. januar 2022.
Her kan man se videoen av presentasjonen som ble holdt i møtet.
Key personnel, University of Stavanger
Department of Electrical Engineering and Computer Science
Department of Electrical Engineering and Computer Science
Department of Electrical Engineering and Computer Science
Department of Electrical Engineering and Computer Science
Department of Electrical Engineering and Computer Science
Department of Electrical Engineering and Computer Science
Stavanger University Hospital (SUS)
Laerdal Medical
Department of Electrical Engineering and Computer Science
BitYoga
Department of Electrical Engineering and Computer Science
Faculty Administration TN
