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- Sullivan BA, Moreira AG, McAdams RM, Knake LA, Husain A, Qiu J, Mudireddy A, Majeedi A, Shalish W, Lake DE, Vesoulis ZA. Comparing machine learning techniques for neonatal mortality prediction: insights from a modeling competition. Pediatr Res. 2024 Dec 16. doi: 10.1038/s41390-024-03773-5. Epub ahead of print. PMID: 39681666.
- Husain A, Knake L, Sullivan B, Barry J, Beam K, Holmes E, Hooven T, McAdams R, Moreira A, Shalish W, Vesoulis Z. AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance. Pediatr Res. 2024 Dec 17. doi: 10.1038/s41390-024-03774-4. Epub ahead of print. PMID: 39681669.
- Simek KA, Husain AN, Vesoulis ZA, Sullivan BA, Barry JS, McAdams RM, Moreira AG. Surveying current perceptions of artificial intelligence among pediatric healthcare professionals. J Perinatol. 2024 Aug 27. doi: 10.1038/s41372-024-02101-3. Epub ahead of print. PMID: 39191886.
- Sullivan BA, Beam K, Vesoulis ZA, Aziz KB, Husain AN, Knake LA, Moreira AG, Hooven TA, Weiss EM, Carr NR, El-Ferzli GT, Patel RM, Simek KA, Hernandez AJ, Barry JS, McAdams RM. Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities. J Perinatol. 2024 Jan;44(1):1-11. doi: 10.1038/s41372-023-01848-5. Epub 2023 Dec 15. PMID: 38097685; PMCID: PMC10872325.
- Vesoulis ZA, Trivedi SB, Morris HF, McKinstry RC, Li Y, Mathur AM, Wu YW. Deep Learning to Optimize Magnetic Resonance Imaging Prediction of Motor Outcomes After Hypoxic-Ischemic Encephalopathy. Pediatr Neurol. 2023 Dec;149:26-31. doi: 10.1016/j.pediatrneurol.2023.09.001. Epub 2023 Sep 7. PMID: 37774643; PMCID: PMC10842950.