ArticleRadiology. Artificial intelligence2024
Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).
Registry-linked trialAbstract readMulticenter Study
In one paragraph
Article in Radiology. Artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02811263 (High-dose Erythropoietin for Asphyxia and Encephalopathy), which is not on this map. Cited by 13 papers.
0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
High-dose Erythropoietin for Asphyxia and Encephalopathy
Who cites it
13 citing papers in PubMed.
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- Development of a prediction model for mortality in infants undergoing therapeutic hypothermia for neonatal encephalopathy.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Magnetic resonance imaging and spectroscopy in neonatal encephalopathy: current consensus position and future opportunities.Pediatric research · 2026Review
- Early prediction of periventricular leukomalacia from MRI changes: a machine learning approach for risk stratification.European radiology · 2026Article
- Inflammasomes meet organoids and artificial intelligence: unraveling the complexity of gynecological inflammation.Frontiers in immunology · 2026Review
- End-to-end deep learning for the diagnosis of pelvic and sacral tumors using non-enhanced MRI: a multi-center study.NPJ precision oncology · 2025Article
- AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance.Pediatric research · 2025Review
- Review
- Predictors for Development of Asphyxiated Neonates Treated With Therapeutic Hypothermia.Acta paediatrica (Oslo, Norway : 1992) · 2025Article
- Enhancing Radiologist Productivity with Artificial Intelligence in Magnetic Resonance Imaging (MRI): A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Current progress and future prospects of machine learning in the diagnosis of neonatal encephalopathy: a narrative review.Translational pediatrics · 2025Review
- Digital biomarkers as predictors of brain injury in neonatal encephalopathy.Frontiers in pediatrics · 2025Article
- Better AI for Kids: Learning from the AI-OPiNE Study.Radiology. Artificial intelligence · 2024Article
Corrections and comments
- Commented on by
Authors and funding
14 authors.
Christopher O Lew *From the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0002-9712-1778
Evan Calabrese *From the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0002-1464-0354
Joshua V ChenFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0003-1949-2917
Felicia TangFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0002-7104-6255
Gunvant ChaudhariFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).
Amanda LeeFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0002-6677-6966
John FaroFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).
Sandra JuulFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0002-6861-6229
Amit MathurFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0003-3529-7548
Robert C McKinstryFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0003-3578-4899
Jessica L WisnowskiFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).
Andreas RauscheckerFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).
Yvonne W WuFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0002-3641-3769
Yi LiFrom the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).ORCID 0000-0001-8535-2168
Funding
High-dose Erythropoietin for Asphyxia and Encephalopathy (HEAL) CCCU01NS092764 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JUUL, SANDRA E, WU, YVONNE W · 2016 to 2020
$12.7MMechanisms of Brain Dysmorphology in MN1 C-Terminal Truncation Syndrome, a Novel Intellectual Developmental Disability Disorder P50HD103524 · NICHD · UNIVERSITY OF WASHINGTON · PI DANIEL DOHERTY · 2020 to 2026
$9.9MMedical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6MTrial of Darbepoetin plus slow-release intravenous iron to decrease transfusions and improve iron status and neurodevelopment in preterm infantsR01HD107003 · NICHD · UNIVERSITY OF WASHINGTON · PI KENDELL GERMAN · 2022 to 2026
$2.6MRepurposing Azithromycin for premature brain injuryR01HD101422 · NICHD · UNIVERSITY OF WASHINGTON · PI WOOD, THOMAS · 2021 to 2025
$2.4MHigh-dose Erythropoietin for Asphyxia and Encephalopathy (HEAL) DCCU01NS092553 · NINDS · UNIVERSITY OF WASHINGTON · PI HEAGERTY, PATRICK J · 2016 to 2020
$1.7MEnteral Iron Supplementation and Intestinal Health in Preterm InfantsK23HL150300 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI HO, THAO · 2020 to 2024
$1.0M13th Hershey Developmental Brain Injury ConferenceR13NS127525 · NINDS · UNIVERSITY OF WASHINGTON · PI JUUL, SANDRA E · 2022 to 2022
$25kNHLBI NIH HHS K23 HL150300NICHD NIH HHS P50 HD103524NICHD NIH HHS R01 HD101422NICHD NIH HHS R01 HD107003NIGMS NIH HHS T32 GM145449NINDS NIH HHS R13 NS127525NINDS NIH HHS U01 NS092553NINDS NIH HHS U01 NS092764
Abstract
Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonates with hypoxic-ischemic encephalopathy using MRI and basic clinical data. Materials and Methods In this study, MRI data of term neonates with encephalopathy in the High-dose Erythropoietin for Asphyxia and Encephalopathy (HEAL) trial (ClinicalTrials.gov: NCT02811263), who were enrolled from 17 institutions between January 25, 2017, and October 9, 2019, were retrospectively analyzed. The harmonized MRI protocol included T1-weighted, T2-weighted, and diffusion tensor imaging. Deep learning classifiers were trained to predict the primary outcome of the HEAL trial (death or any neurodevelopmental impairment at 2 years) using multisequence MRI and basic clinical variables, including sex and gestational age at birth. Model performance was evaluated on test sets comprising 10% of cases from 15 institutions (in-distribution test set,
Indexed as
Deep LearningHypoxia-Ischemia, BrainMagnetic Resonance ImagingArtificial IntelligenceFemaleHumansInfant, NewbornMalePredictive Value of TestsRetrospective StudiesBrainBrain StemConvolutional Neural Network (CNN)PediatricsPrognosis
Identifiers
What OpenQuestion holds
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Registered trials
NCT02811263ClinicalTrials.gov
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.