Lars Adde
Background and activities
Member of research group for perinatal brain injury at Department of Clinical and Molecular Medicine.
Work experience covers clinical work in hospital and community based habilitation/rehabilitation in young infants and children, follow-up of high-risk infants, research activities particular in movement analysis in young infants and translational research, as well as teaching and supervision of medical, physical therapist, human movement science and computer engineer students.
Lars Adde (PT, PhD), is responsible for the In-Motion concept at St. Olavs hospital and NTNU, assessing infant spontaneous movements for the early detection of perinatal brain injury and prediction of Cerebral Palsy. He has more than 22 years’ clinical and research experience working with diagnostics and treatment at the Neonatal Infant Care Unit (NICU) and from follow-up programs in specialized healthcare. He leads an interdisciplinary research team comprising physiotherapists, neonatologists, pediatricians, human movement scientist’s and computer engineers, using clinical assessment tools, Artificial Intelligence (AI), machine learning (ML) and Deep learning for automated tracking of spontaneous infant movements from videos and development of models for prediction of later functional outcomes.
The In-Motion team‘s main clinical studies cover multisite international studies in Norway, Denmark, USA, Belgium, China, India, and Turkey. Lars is also responsible for an ongoing implementation study of early remote risk assessment for cerebral palsy for all high-risk infants in The Central Norway Regional Health Authority during the period 2019- 2024.
Lars graduated as a physiotherapist at Oslo University College in 1986 and the degree of PhD in Clinical Medicine at NTNU in Trondheim in 2010. He is currently responsible for all In-Motion medical research activities at St. Olavs hospital and NTNU.
For search in PubMed, use: "Adde L"
Overview of Publications:
Author |
Peer reviewed papers |
Peer reviewed abstracts with oral presentations |
Peer reviewed abstracts with posters |
Invited speaker at conferences |
Total |
|
|
|
|
13 |
|
First author |
7 |
13 |
7 |
|
27 |
Co-author |
20 |
9 |
26 |
|
55 |
Last author |
9 |
9 |
11 |
|
29 |
Total |
36 |
31 |
46 |
|
113 |
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2022) Towards human-level performance on automatic pose estimation of infant spontaneous movements. Computerized Medical Imaging and Graphics. vol. 95.
- (2021) In-Motion-App for remote General Movement Assessment: a multi-site observational study. BMJ Open. vol. 11 (3).
- (2021) Prediction of outcome from MRI and general movements assessment after hypoxic-ischaemic encephalopathy in low-income and middle-income countries: data from a randomised controlled trial. Archives of Disease in Childhood: Fetal and Neonatal Edition.
- (2021) Fully automated clinical movement analysis from videos using skeleton-based deep learning. Gait & Posture. vol. 90.
- (2021) New automatic, efficient, and highly precise tracking of infant spontaneous movements. Developmental Medicine & Child Neurology. vol. 63.
- (2021) Assessment of mirror movements in children and adolescents with unilateral cerebral palsy: reliability of the Woods and Teuber scale. Developmental Medicine & Child Neurology. vol. 63 (6).
- (2021) Early Intervention for Children Aged 0 to 2 Years with or at High Risk of Cerebral Palsy: International Clinical Practice Guideline Based on Systematic Reviews. JAMA pediatrics. vol. 175 (8).
- (2021) Inter-observer reliability using the General Movement Assessment is influenced by rater experience. Early Human Development. vol. 161.
- (2020) Maternal alcohol and drug use during pregnancy affects the motor behaviour and general movements of infants aged 3–4 months. Early Human Development. vol. 151.
- (2020) Approaching human precision on automatic markerless tracking of human movements. Gait & Posture. vol. 81.
- (2020) Motor outcome after perinatal stroke and early prediction of unilateral spastic cerebral palsy. European journal of paediatric neurology.
- (2020) Correlates of Normal and Abnormal General Movements in Infancy and Long-Term Neurodevelopment of Preterm Infants: Insights from Functional Connectivity Studies at Term Equivalence. Journal of Clinical Medicine.
- (2020) Early intervention and its short-term effect on the temporal organization of fidgety movements. Early Human Development.
- (2019) Deep Learning‐based infant motion tracking facilitating early detection of cerebral palsy. Developmental Medicine & Child Neurology. vol. 61.
- (2019) Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study. Journal of Clinical Medicine. vol. 9 (1).
- (2019) Skin-to-skin contact during eye examination did not reduce pain compared to standard care with parental support in preterm infants. Acta Paediatrica.
- (2019) The predictive accuracy of the general movement assessment for cerebral palsy: A prospective, observational study of high-risk infants in a clinical follow-up setting. Journal of Clinical Medicine. vol. 8 (11).
- (2018) Characteristics of general movements in preterm infants assessed by computer-based video analysis. Physiotherapy Theory and Practice. vol. 34 (4).
- (2017) Early, accurate diagnosis and early intervention in cerebral palsy: Advances in diagnosis and treatment. JAMA pediatrics. vol. 171 (9).
- (2017) Spedbarns spontanbevegelsar: utvikling av "in-Motion"-appen. Fysioterapeuten.