Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
Clin Perinatol. 2024 Jun;51(2):461-473. doi: 10.1016/j.clp.2024.02.005. Epub 2024 Mar 8.
ABSTRACT
Preterm birth (PTB) and its associated morbidities are a leading cause of infant mortality and morbidity. Accurate predictive models and a better biological understanding of PTB-associated morbidities are critical in reducing their adverse effects. Increasing availability of multimodal high-dimensional data sets with concurrent advances in artificial intelligence (AI) have created a rich opportunity to gain novel insights into PTB, a clinically complex and multifactorial disease. Here, the authors review the use of AI to analyze 3 modes of data: electronic health records, biological omics, and social determinants of health metrics.
PMID:38705652 | DOI:10.1016/j.clp.2024.02.005
![Google](https://www.google.com/images/branding/googlelogo/2x/googlelogo_light_color_92x30dp.png)
![Google Keep](https://www.gstatic.com/images/branding/product/1x/keep_48dp.png)
![Share on Linkedin](https://psychiatryai.com/wp-content/uploads/2023/10/linkedin-logo-png-2048-1.png)
Estimated reading time: 2 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
![](/wp-content/uploads/2024/04/bd462cc11bcf0bd0d0d6f1d0f8b7cd04-modified-1.png)
Cool Evidence: Engaging Young People and Students in Real-World Evidence
![](/wp-content/uploads/2024/04/bd462cc11bcf0bd0d0d6f1d0f8b7cd04-modified-1.png)
Real-Time Evidence Search [Psychiatry]
![](/wp-content/uploads/2024/04/pubmed.png)
AI Research
![](/wp-content/uploads/2024/05/Il5nR_nf_400x400-modified-1.png)
Computational Approaches for Predicting Preterm Birth and Newborn Outcomes
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Computational Approaches for Connecting Maternal Stress to Preterm Birth Association of preterm birth and birth size status with neurodevelopmental and psychiatric disorders in spontaneous births Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine Novel integrative multi-omics strategies of human's biological age computation. Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force Assessing the Role of Asthma on the Relationship between Neurodevelopmental Disabilities and Adverse Birth Outcomes Spatially Resolved Single-Cell Omics: Methods, Challenges, and Future Perspectives The Social Context of Pregnancy, Respectful Maternity Care, Biomarkers of Weathering, and Postpartum Mental Health Inequities: A Scoping Review Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology: A Review of Basic Elements Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model Artificial Intelligence in Orthodontics: Critical Review Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review GraphCompass: spatial metrics for differential analyses of cell organization across conditions ChatGPT and Medicine: Together We Embrace the AI Renaissance Investigating the Black Birth Experience: A Race-Stratified Analysis of Preterm Birth Risk and Exposure to Metropolitan Statistical Area-Level Police-Related Deaths, US 2018-2019 Managing A Patient with Uveitis in The Era of Artificial Intelligence: Current Approaches, Emerging Trends, And Future Perspectives Prenatal methamphetamine use increases risk of adverse maternal and neonatal outcomes Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches Internal world models in humans, animals, and AI Deep learning methods for protein function prediction A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque Digital twins: Reimagining the future of cardiovascular risk prediction and personalized care Machine-Learning Approaches for Risk Prediction in Transcatheter Aortic Valve Implantation: Systematic Review and Meta-Analysis Multiscale approaches for understanding single cell spatial omics data Phytobial remediation advances and application of omics and artificial intelligence: a review Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials Leveraging artificial intelligence in vaccine development: A narrative review Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease Quantitative Trait Locus Mapping in Placenta: A Comparative Study of Chorionic Villus and Birth Placenta Forecasting acute kidney injury and resource utilization in ICU patients using longitudinal, multimodal models Artificial intelligence and machine learning's role in sepsis-associated acute kidney injury Integrating Advanced Techniques and Machine Learning for Landfill Leachate Treatment: Addressing Limitations and Environmental Concerns Impact of Social Determinants of Health on Predictive Models for Outcomes After Congenital Heart Surgery Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions - A Narrative Review for a Comprehensive Insight Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions - A Narrative Review for a Comprehensive Insight In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back Applications of Artificial Intelligence in Lung Pathology Multi-target drugs for Alzheimer's disease Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model Unveiling the Role of Artificial Intelligence (AI) in Polycystic Ovary Syndrome (PCOS) Diagnosis: A Comprehensive Review Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review Spontaneous biases enhance generalization in the neonate brain Identifying Precise Targets to Improve Child Mental Health Care Equity: Leveraging Advances in Clinical Research Informatics and Lived Experience MDDOmics: multi-omics resource of major depressive disorder Harnessing artificial intelligence for predicting and managing postoperative pain: a narrative literature review Providing insights into health data science education through artificial intelligence Potential application of artificial intelligence in cancer therapy Incorporating AI into cardiovascular diseases prevention-insights from Singapore The Role and Applications of Artificial Intelligence in the Treatment of Chronic Pain Artificial intelligence in surgery Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine Future of outcomes research in plastic surgery: Artificial intelligence generated synthetic data and predictive models Caring for sexual and gender minority patients with genitourinary cancer: A primer for inclusive practices Understanding Cognitive Behavioral Therapy for Psychosis Through the Predictive Coding Framework
Evidence Blueprint
Computational Approaches for Predicting Preterm Birth and Newborn Outcomes
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
Computational Approaches for Predicting Preterm Birth and Newborn Outcomes
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Computational Approaches for Connecting Maternal Stress to Preterm Birth Medication Abortion and Preterm Birth Association of preterm birth and birth size status with neurodevelopmental and psychiatric disorders in spontaneous births Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine Novel integrative multi-omics strategies of human's biological age computation. Maternal Eating Disorders and Adverse Birth Outcomes: A Systematic Review and Meta-Analysis Relationships Between Alcohol Policies and Infant Morbidities and Injuries Association of Pregnancy-Specific Alcohol Policies With Infant Morbidities and Maltreatment Challenges in Using Progestin to Prevent Singleton Preterm Births: Current Knowledge and Clinical Advice Risk factors for preterm birth: an umbrella review of meta-analyses of observational studies Paternal and maternal psychiatric history and risk of preterm and early term birth: A nationwide study using Swedish registers Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia Associations of SARS-CoV-2 antibodies with birth outcomes: Results from three urban birth cohorts in the NIH environmental influences on child health outcomes program Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study Recent advances in understanding the fitness and survival mechanisms of Vibrio parahaemolyticus Ethnoracial Disparities in Perinatal Outcomes among Women Veterans Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach Assessing the Role of Asthma on the Relationship between Neurodevelopmental Disabilities and Adverse Birth Outcomes Adverse live born pregnancy outcomes among pregnant people with anorexia nervosa Use of big data and machine learning algorithms to extract possible treatment targets in neurodevelopmental disorders Social Determinants of Health, Chronic Disease Management, and the Role of the Primary Care Provider-to Include Cardiovascular Disease, Cancer, Diabetes, Major Causes of Morbidity and Mortality as Affected by Social Determinants of Health Endometriosis in the era of precision medicine and impact on sexual and reproductive health across the lifespan and in diverse populations Spatially Resolved Single-Cell Omics: Methods, Challenges, and Future Perspectives Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges Preterm Birth and Maternal Mood States: What Is the Impact on Bonding? Artificial intelligence for dementia genetics and omics Ambient air pollution and adverse birth outcomes: A review of underlying mechanisms The Social Context of Pregnancy, Respectful Maternity Care, Biomarkers of Weathering, and Postpartum Mental Health Inequities: A Scoping Review Association of gestational free and total triiodothyronine with gestational hypertension, preeclampsia, preterm birth and birth weight: an individual-participant data meta-analysis Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology: A Review of Basic Elements A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms Mechanisms of sex differences in Alzheimer's disease The impact of the COVID-19 pandemic on antenatal care provision and associated mental health, obstetric and neonatal outcomes Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model Artificial Intelligence in Orthodontics: Critical Review How real-world data can facilitate the development of precision medicine treatment in psychiatry Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review GraphCompass: spatial metrics for differential analyses of cell organization across conditions ChatGPT and Medicine: Together We Embrace the AI Renaissance Predictors for cannabis cessation during pregnancy: a 10-year cohort study Investigating the Black Birth Experience: A Race-Stratified Analysis of Preterm Birth Risk and Exposure to Metropolitan Statistical Area-Level Police-Related Deaths, US 2018-2019 Association Between Individual Air Pollution (PM10, PM2.5) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study Managing A Patient with Uveitis in The Era of Artificial Intelligence: Current Approaches, Emerging Trends, And Future Perspectives Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models Prenatal methamphetamine use increases risk of adverse maternal and neonatal outcomes Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery Artificial intelligence for dementia-Applied models and digital health A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery Ecotoxicological impacts of landfill sites: Towards risk assessment, mitigation policies and the role of artificial intelligence Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model Internal world models in humans, animals, and AI Maternal Autistic Traits and Adverse Birth Outcomes Deep learning methods for protein function prediction A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque Digital twins: Reimagining the future of cardiovascular risk prediction and personalized care