Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review

Application of machine learning in screening for congenital heart diseases using fetal echocardiography

(2022) Vien T. Truong et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Zika Virus Prediction Using AI-Driven Technology and Hybrid Optimization Algorithm in Healthcare

(2022) Pankaj Dadheech et al.   Journal of Healthcare Engineering

Explainable Computational Intelligence Model for Antepartum Fetal Monitoring to Predict the Risk of IUGR

(2022) Nida Aslam et al.   Electronics

Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases

(2022) Yanji Qu et al.   Frontiers in Cardiovascular Medicine

An Investigational Approach for the Prediction of Gastric Cancer Using Artificial Intelligence Techniques: A Systematic Review

(2022) Priya Bhardwaj et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

An imbalance-aware deep neural network for early prediction of preeclampsia

(2022) Rachel Bennett et al.   PLoS One

Interpreting the role of nuchal fold for fetal growth restriction prediction using machine learning

(2022) Lung Yun Teng et al.   Scientific Reports

A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent

(2022) Yogesh Kumar et al.   SOFT COMPUTING

Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review

(2022) Yogesh Kumar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer

(2022) Khushboo Bansal et al.   SOFT COMPUTING

Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitis

(2021) Jung Su Lee et al.   Scientific Reports

An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease

(2021) Rima Arnaout et al.   NATURE MEDICINE

Machine learning model on heart rate variability metrics identifies asymptomatic toddlers exposed to Zika virus during pregnancy

(2021) Christophe Louis Herry et al.   PHYSIOLOGICAL MEASUREMENT

Classification algorithm for congenital Zika Syndrome: characterizations, diagnosis and validation

(2021) Rafael V. Veiga et al.   Scientific Reports

Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning

(2021) Rohit Bharti et al.   Computational Intelligence and Neuroscience

Chlamydia trachomatis Screening and Treatment in Pregnancy to Reduce Adverse Pregnancy and Neonatal Outcomes: A Review

(2021) Kristina N. Adachi et al.   Frontiers in Public Health

Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit

(2021) Jen-Fu Hsu et al.   Journal of Personalized Medicine

Sexually Transmitted Infections Treatment Guidelines, 2021

(2021) Kimberly A. Workowski et al.   MMWR Recommendations and Reports

A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis

(2021) Yogesh Kumar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

A machine learning model for the prediction of down syndrome in second trimester antenatal screening

(2021) Falin He et al.   CLINICA CHIMICA ACTA

Clinical experience with a novel assay measuring cytomegalovirus (CMV)-specific CD4+ and CD8+ T-cell immunity by flow cytometry and intracellular cytokine staining to predict clinically significant CMV events

(2020) Ralph Rogers et al.   BMC INFECTIOUS DISEASES

Congenital heart disease diagnosed with echocardiogram in newborns with asymptomatic cardiac murmurs: a systematic review

(2020) Shin Ae Yoon et al.   BMC Pediatrics

Global Perspectives on Immunization During Pregnancy and Priorities for Future Research and Development: An International Consensus Statement

(2020) Bahaa Abu-Raya et al.   Frontiers in Immunology

Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

(2020) Herdiantri Sufriyana et al.   JMIR Medical Informatics

A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study

(2020) Wongeun Song et al.   JMIR Medical Informatics

A robust and interpretable end-to-end deep learning model for cytometry data

(2020) Zicheng Hu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Exploratory analysis of machine learning approaches for surveillance of Zika‐associated birth defects

(2020) Richard Lusk et al.   Birth Defects Research

Routine ultrasound at 32 vs 36 weeks’ gestation: prediction of small‐for‐gestational‐age neonates

(2019) Anca Ciobanu et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data

(2019) Aaron J. Masino et al.   PLoS One

Applications of artificial neural networks in health care organizational decision-making: A scoping review

(2019) Nida Shahid et al.   PLoS One

Can endoscopists differentiate cytomegalovirus esophagitis from herpes simplex virus esophagitis based on gross endoscopic findings?

(2019) Kyung Hwa Jung et al.   MEDICINE

Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction

(2019) Ray Oliver Bahado-Singh et al.   PLoS One

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks

(2019) Yulei Qin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Comparing different supervised machine learning algorithms for disease prediction

(2019) Shahadat Uddin et al.   BMC Medical Informatics and Decision Making

Mapping the transmission risk of Zika virus using machine learning models

(2018) Dong Jiang et al.   ACTA TROPICA

Screening for fetal growth restriction using fetal biometry combined with maternal biomarkers

(2018) Francesca Gaccioli et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Seroprevalence of transfusion-transmissible infections (HBV, HCV, syphilis and HIV) among prospective blood donors in a tertiary health care facility in Calabar, Nigeria; an eleven years evaluation

(2018) Henshaw Uchechi Okoroiwu et al.   BMC PUBLIC HEALTH

Fetal health status prediction based on maternal clinical history using machine learning techniques

(2018) Akhan Akbulut et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine learning in cardiovascular medicine: are we there yet?

(2018) Khader Shameer et al.   HEART

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

(2018) Benjamin Hou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems

(2018) A. C. Neocleous et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly

(2018) Jared M. Pisapia et al.   JAMA Pediatrics

Neuro-fuzzy model for HELLP syndrome prediction in mobile cloud computing environments

(2018) Mário W. L. Moreira et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Machine learning approach for homolog chromosome classification

(2018) Devaraj Somasundaram   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection

(2018) Kenji Tanimura et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Robust Wavelet Stabilized ‘Footprints of Uncertainty’ for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia

(2017) Hamid Abbasi et al.   International Journal of Neural Systems

An artificial neural network prediction model of congenital heart disease based on risk factors

(2017) Huixia Li et al.   MEDICINE

Letermovir Prophylaxis for Cytomegalovirus in Hematopoietic-Cell Transplantation

(2017) Francisco M. Marty et al.   NEW ENGLAND JOURNAL OF MEDICINE

Predicting congenital heart defects: A comparison of three data mining methods

(2017) Yanhong Luo et al.   PLoS One

Intelligent Noninvasive Diagnosis of Aneuploidy: Raw Values and Highly Imbalanced Dataset

(2017) Andreas C. Neocleous et al.   IEEE Journal of Biomedical and Health Informatics

Mass Cytometry: Single Cells, Many Features

(2016) Matthew H. Spitzer et al.   CELL

Congenital Zika virus syndrome in Brazil: a case series of the first 1501 livebirths with complete investigation

(2016) Giovanny V A França et al.   LANCET

Zika Virus and Birth Defects — Reviewing the Evidence for Causality

(2016) Sonja A. Rasmussen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Clinical features and neuroimaging (CT and MRI) findings in presumed Zika virus related congenital infection and microcephaly: retrospective case series study

(2016) Maria de Fatima Vasco Aragao et al.   BMJ-British Medical Journal

Clinical features and neuroimaging (CT and MRI) findings in presumed Zika virus related congenital infection and microcephaly: retrospective case series study

(2016) Maria de Fatima Vasco Aragao et al.   BMJ-British Medical Journal

Increase in Reported Prevalence of Microcephaly in Infants Born to Women Living in Areas with Confirmed Zika Virus Transmission During the First Trimester of Pregnancy — Brazil, 2015

(2016) Wanderson Kleber de Oliveira et al.   MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT

Prevalence and epidemiological characteristics of congenital cataract: a systematic review and meta-analysis

(2016) Xiaohang Wu et al.   Scientific Reports

Challenges in the diagnosis and management of neonatal sepsis

(2015) A. Zea-Vera et al.   JOURNAL OF TROPICAL PEDIATRICS

Primary Prevention of Congenital Anomalies: Recommendable, Feasible and Achievable

(2015) Domenica Taruscio et al.   Public Health Genomics

Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles

(2015) Massimo Buscema et al.   PLoS One

Preventability of severe acute maternal morbidity

(2014) Beverley Lawton et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Fetal QRS extraction from abdominal recordings via model-based signal processing and intelligent signal merging

(2014) Masoumeh Haghpanahi et al.   PHYSIOLOGICAL MEASUREMENT

Non-invasive fetal ECG analysis

(2014) Gari D Clifford et al.   PHYSIOLOGICAL MEASUREMENT

Global causes of maternal death: a WHO systematic analysis

(2014) Lale Say et al.   Lancet Global Health

Congenital Toxoplasmosis

(2014) James B. McAuley   Journal of the Pediatric Infectious Diseases Society

Maternal Sepsis Mortality and Morbidity During Hospitalization for Delivery

(2013) Melissa E. Bauer et al.   ANESTHESIA AND ANALGESIA

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records

(2013) Kenney Ng et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Global Prevalence of Vision Impairment and Blindness

(2013) Gretchen A. Stevens et al.   OPHTHALMOLOGY

Influence of infection during pregnancy on fetal development

(2013) Kristina M Adams Waldorf et al.   REPRODUCTION

Physiopathology of intrauterine growth retardation: from classic data to metabolomics

(2012) Angelica Dessì et al.   Journal of Maternal-Fetal & Neonatal Medicine

Predicting disease risks from highly imbalanced data using random forest

(2011) Mohammed Khalilia et al.   BMC Medical Informatics and Decision Making

Artificial neural network for normal, hypertensive, and preeclamptic pregnancy classification using maternal heart rate variability indexes

(2011) Eduardo Tejera et al.   Journal of Maternal-Fetal & Neonatal Medicine