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  • Open Access

    ARTICLE

    A Deep Learning Framework for Heart Disease Prediction with Explainable Artificial Intelligence

    Muhammad Adil1, Nadeem Javaid1,*, Imran Ahmed2, Abrar Ahmed3, Nabil Alrajeh4,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-20, 2026, DOI:10.32604/cmc.2025.071215 - 10 November 2025

    Abstract Heart disease remains a leading cause of mortality worldwide, emphasizing the urgent need for reliable and interpretable predictive models to support early diagnosis and timely intervention. However, existing Deep Learning (DL) approaches often face several limitations, including inefficient feature extraction, class imbalance, suboptimal classification performance, and limited interpretability, which collectively hinder their deployment in clinical settings. To address these challenges, we propose a novel DL framework for heart disease prediction that integrates a comprehensive preprocessing pipeline with an advanced classification architecture. The preprocessing stage involves label encoding and feature scaling. To address the issue of… More >

  • Open Access

    ARTICLE

    Evaluating the Association between Acute Postoperative Enteral Nutrition and Clinical Outcomes in Infants after Congenital Heart Surgery: A Retrospective Cohort Study

    Shun Maki1,*, Satoshi Nakano1, Taiki Haga2, Takehiro Niitsu1, Ikuya Ueta1

    Congenital Heart Disease, Vol.20, No.5, pp. 547-558, 2025, DOI:10.32604/chd.2025.072277 - 30 November 2025

    Abstract Background: Considering the limited evidence for acute postoperative nutritional therapy for congenital heart disease (CHD), this study evaluated the effects of achieving enteral nutrition (EN) targets in the acute postoperative phase on clinical outcomes in infants after congenital heart surgery. Methods: This retrospective cohort study, conducted in a multivalent pediatric intensive care unit (PICU), enrolled infants aged ≤6 months following congenital heart surgery between April 2021 and March 2023. Based on the American Society for Parenteral and Enteral Nutrition guidelines, the EN target was defined as two-thirds of the resting energy expenditure with a protein intake… More >

  • Open Access

    ARTICLE

    A Comprehensive Brain MRI and Neurodevelopmental Dataset in Children with Tetralogy of Fallot

    Yang Xu1,#, Yaqi Zhang2,#, Meijiao Zhu3, Pengcheng Xue4, Siyu Ma1, Di Yu1, Liang Hu1, Yuxi Zhang1, Wei Peng1, Jirong Qi1, Xuyun Wen4, Ming Yang3, Xuming Mo1,2,5,*

    Congenital Heart Disease, Vol.20, No.5, pp. 559-570, 2025, DOI:10.32604/chd.2025.072242 - 30 November 2025

    Abstract Background: The life-course management of children with tetralogy of Fallot (TOF) has focused on demonstrating brain structural alterations, developmental trajectories, and cognition-related changes that unfold over time. Methods: We introduce an magnetic resonance imaging (MRI) dataset comprising TOF children who underwent brain MRI scanning and cross-sectional neurocognitive follow-up. The dataset includes brain three-dimensional T1-weighted imaging (3D-T1WI), three-dimensional T2-weighted imaging (3D-T2WI), and neurodevelopmental evaluations using the Wechsler Preschool and Primary Scale of Intelligence–Fourth Edition (WPPSI-IV). Results: Thirty-one children with TOF (age range: 4–33 months; 18 males) were recruited and completed corrective surgery at the Children’s Hospital of Nanjing More >

  • Open Access

    ARTICLE

    Increased Incidence of Congenital Heart Disease during the COVID-19 Pandemic in 492,662 Newborns: Multicenter Observational Study

    Lanqing Qu1,2,#, Jinbiao Zhang1,2,#, Wei Jiang1,2, Jiayu Zhang1,2, Die Li1, Wei Cheng3, Linghua Tao4, Hongdan Zhu5, Jing Li6, Min Xue7, Feng Chen8, Cuicui Xu9, Qiang Shu1,2,*, Weize Xu1,2,*

    Congenital Heart Disease, Vol.20, No.5, pp. 571-580, 2025, DOI:10.32604/chd.2025.066258 - 30 November 2025

    Abstract Background: Congenital heart disease (CHD) is the most common congenital anomaly, but whether the COVID-19 pandemic affects its prevalence is unknown. We aimed to compare the incidence of CHD during the COVID-19 pandemic with that before the pandemic in China. Methods: This multicenter retrospective observational study involved all newborns in seven representative cities of China between 01 September 2019, and 31 December 2021. All the newborns underwent pulse oximetry monitoring combined with cardiac murmur auscultation in the first 6 h to 72 h after birth for CHD screening. We defined fetuses born in and beyond September… More >

  • Open Access

    REVIEW

    Precision Pharmacology in Pediatric Congenital Heart Disease: Gene Editing and Organoid Models Addressing Developmental Challenges

    Jun He1, Jianli Luo1, Yanling Wang1,*, Dai Zhou1,*, Shuanglin Xiang2,*

    Congenital Heart Disease, Vol.20, No.5, pp. 613-623, 2025, DOI:10.32604/chd.2025.071773 - 30 November 2025

    Abstract Pediatric congenital heart disease (CHD) pharmacotherapy faces three fundamental barriers: developmental pharmacokinetic complexity, anatomic-genetic heterogeneity, and evidence chain gaps. Traditional agents exhibit critical limitations: digoxin’s narrow therapeutic index (0.5–0.9 ng/mL) is exacerbated by ABCB1 mutations (toxicity risk increases 4.1-fold), furosemide efficacy declines by 35% in neonates due to NKCC2 immaturity, and β-blocker responses vary by CYP2D6 polymorphisms (poor metabolizers require 50–75% dose reduction). Novel strategies demonstrate transformative potential—CRISPR editing achieves 81% reversal of BMPR2-associated pulmonary vascular remodeling, metabolically matured cardiac organoids replicate adult myocardial energy metabolism for drug screening, and SGLT2 inhibitors activate triple mechanisms (calcium overload More >

  • Open Access

    ARTICLE

    Quantum Genetic Algorithm Based Ensemble Learning for Detection of Atrial Fibrillation Using ECG Signals

    Yazeed Alkhrijah1, Marwa Fahim2, Syed Muhammad Usman3, Qasim Mehmood3, Shehzad Khalid4,5,*, Mohamad A. Alawad1, Haya Aldossary6

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2339-2355, 2025, DOI:10.32604/cmes.2025.071512 - 26 November 2025

    Abstract Atrial Fibrillation (AF) is a cardiac disorder characterized by irregular heart rhythms, typically diagnosed using Electrocardiogram (ECG) signals. In remote regions with limited healthcare personnel, automated AF detection is extremely important. Although recent studies have explored various machine learning and deep learning approaches, challenges such as signal noise and subtle variations between AF and other cardiac rhythms continue to hinder accurate classification. In this study, we propose a novel framework that integrates robust preprocessing, comprehensive feature extraction, and an ensemble classification strategy. In the first step, ECG signals are divided into equal-sized segments using a… More >

  • Open Access

    ARTICLE

    Risk Indicator Identification for Coronary Heart Disease via Multi-Angle Integrated Measurements and Sequential Backward Selection

    Hui Qi1, Jingyi Lian2, Congjun Rao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 995-1028, 2025, DOI:10.32604/cmes.2025.069722 - 30 October 2025

    Abstract For the past few years, the prevalence of cardiovascular disease has been showing a year-on-year increase, with a death rate of 2/5. Coronary heart disease (CHD) rates have increased 41% since 1990, which is the number one disease endangering human health in the world today. The risk indicators of CHD are complicated, so selecting effective methods to screen the risk characteristics can make the risk prediction more efficient. In this paper, we present a comprehensive analysis of CHD risk indicators from both data and algorithmic levels, propose a method for CHD risk indicator identification based… More >

  • Open Access

    LETTER

    Semilunar Valve Replacement with a Telescoping Arterial Trunk Valve

    Edo Bedzra1,2,*, Herra Javed3,4, James E. O’Brien1,2, Taufiek Konrad Rajab3,4

    Congenital Heart Disease, Vol.20, No.4, pp. 441-446, 2025, DOI:10.32604/chd.2025.071035 - 18 September 2025

    Abstract A bicuspid aortic valve, from autologous tissue, with growth potential can be constructed using the simple, and reproducible telescoping arterial trunk technique. More >

  • Open Access

    ARTICLE

    Nationwide Trends in Congenital Heart Disease Surgery in Korea, 2002–2018: Volume, Age-Standardized Incidence, and Lesion-Based Case-Mix

    Jae Sung Son1, Soo-Jin Kim2,*

    Congenital Heart Disease, Vol.20, No.4, pp. 421-440, 2025, DOI:10.32604/chd.2025.070250 - 18 September 2025

    Abstract Background: Advancements in diagnostic tools, surgical techniques, and long-term management have significantly improved survival among individuals with congenital heart disease (CHD), leading to an evolving epidemiologic profile characterized by increasing procedural complexity and a growing adult CHD population. This study aimed to examine nationwide trends in CHD surgeries over a 17-year period, with a focus on temporal shifts in surgical volume, procedural complexity, and age-specific incidence. Methods: A total of 41,608 CHD surgeries and 85,417 surgical procedures performed between 2002 and 2018 were identified from a nationwide health insurance database. Temporal trends were evaluated using segmented… More >

  • Open Access

    ARTICLE

    Long-Term Follow-Up of Percutaneous Stent Implantation for Residual Pulmonary Artery Stenosis in Pediatric Patients after Surgical Repair of Complicated Congenital Heart Diseases

    Yifan Li1,#, Xu Huang2,#, Bingyu Ma3, Ling Sun1, Shushui Wang1, Zhiwei Zhang1, Yumei Xie1,*

    Congenital Heart Disease, Vol.20, No.4, pp. 463-475, 2025, DOI:10.32604/chd.2025.068286 - 18 September 2025

    Abstract Objective: The aim of the present study was to investigate long-term efficacy and safety of percutaneous stent implantation for residual pulmonary artery stenosis (PAS) in pediatric patients after surgical repair of complicated congenital heart diseases (CHDs). Methods: All pediatric patients diagnosed with residual PAS after surgical repair of complicated CHDs between 1996 and 2020 were retrospectively enrolled in the study. Results: A total of 41 patients (30 males, 11 females; median age 5.0 years, median weight 17 kg) were followed-up for a median of 7.1 years. Follow-up echocardiography results demonstrated that the target vessel diameter increased from… More >

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