Evidence
Can J Cardiol. 2024 Aug 19:S0828-282X(24)00925-5. doi: 10.1016/j.cjca.2024.08.273. Online ahead of print.
ABSTRACT
Chinni and Manlhiot’s work on machine learning in pediatric and congenital heart disease addresses the unique challenges of applying AI to rare and complex conditions with limited data[12]. Their exploration of time-dependent analysis and dimensionality reduction techniques points towards more personalized treatment strategies for children with heart disease.
PMID:39168371 | DOI:10.1016/j.cjca.2024.08.273
Estimated reading time: 2 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Artificial Intelligence in Cardiovascular Medicine: From Clinical Care, Education, and Research Applications to Foundational Models – A Perspective
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Maximizing Large Language Model Utility in Cardiovascular Care: A Practical Guide
- Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications
- Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications
- Role of Artificial Intelligence in Improving Syncope Management
- Artificial Intelligence-Driven Electrocardiography: Innovations in Hypertrophic Cardiomyopathy Management
- Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report
- Digital twins: Reimagining the future of cardiovascular risk prediction and personalized care
- Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review
- Artificial Intelligence and Pediatric Otolaryngology
- The AI Future of Emergency Medicine
- Artificial Intelligence in Parkinson's Disease: Early Detection and Diagnostic Advancements
- Advancements and Challenges in Cardiac Amyloidosis Imaging: A Comprehensive Review of Novel Techniques and Clinical Applications
- Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis
- Design optimization of geometrically confined cardiac organoids enabled by machine learning techniques
- Managing A Patient with Uveitis in The Era of Artificial Intelligence: Current Approaches, Emerging Trends, And Future Perspectives
- Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment
- Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques
- Generating Complex Explanations for Artificial Intelligence Models: An Application to Clinical Data on Severe Mental Illness
- Retraction notice to: PO-0437 ARTIFICIAL INTELLIGENCE FOR ANALYSIS OF MOBILE CARDIAC TELEMETRY: Heart Rhythm 2024;21(5Suppl): S467-468
- Cardiac Amyloidosis: A Comprehensive Review of Pathophysiology, Diagnostic Approach, Applications of Artificial Intelligence, and Management Strategies
- Cardiac Amyloidosis: A Comprehensive Review of Pathophysiology, Diagnostic Approach, Applications of Artificial Intelligence, and Management Strategies
- Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review
- Standardization and clinical applications of retinal imaging biomarkers for cardiovascular disease: a Roadmap from an NHLBI workshop
- 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
- Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges
- Artificial intelligence and machine learning for anaphylaxis algorithms
- Artificial intelligence in perinatal mental health research: A scoping review
- Adaptive Functioning and Sleep Quality: Associations in Young Children with Congenital Heart Disease
- Artificial Intelligence in Autoimmune Bullous Dermatoses
- Evidence-Based Learning Strategies in Medicine Using AI
- Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
- Quantifying brain-functional dynamics using deep dynamical systems: Technical considerations
- Radiomics and artificial intelligence applications in pediatric brain tumors
- Research and application of omics and artificial intelligence in cancer
- Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
- Impact of Social Determinants of Health on Predictive Models for Outcomes After Congenital Heart Surgery
- Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective
- Analysis and interpretability of machine learning models to classify thyroid disease
- Role of artificial intelligence, machine learning and deep learning models in corneal disorders - A narrative review
- Advancements in Artificial Intelligence for Precision Diagnosis and Treatment of Myocardial Infarction: A Comprehensive Review of Clinical Trials and Randomized Controlled Trials
- A Review of Ophthalmology Education in the Era of Generative Artificial Intelligence
- Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems
- Intravenous Iron Repletion for Patients With Heart Failure and Iron Deficiency: JACC State-of-the-Art Review
- Evaluating artificial intelligence for medical imaging: a primer for clinicians
- Alcohol and Atrial Fibrillation: An Update and New Perspectives
- Alcohol and Atrial Fibrillation: An Update and New Perspectives
- Synergizing blockchain and artificial intelligence to enhance healthcare
- A Novel Approach to Mentorship in Pediatric Cardiology: A Group for Women
- The effects of a hospital-to-home care transition program on perceived stress and readiness for hospital discharge in mothers of children with congenital heart disease undergoing corrective surgery
- Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis
- Harnessing artificial intelligence for predicting and managing postoperative pain: a narrative literature review
- Opportunity to Use Artificial Intelligence in Medicine
- Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology: A Review of Basic Elements
- Artificial Intelligence in Military Medicine
- Artificial Intelligence in the Provision of Health Care: An American College of Physicians Policy Position Paper
- Humanistic and economic burden of atopic dermatitis in pediatric patients in Spain: a systematic review
- RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints
- Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials
- The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment
Evidence Blueprint
Artificial Intelligence in Cardiovascular Medicine: From Clinical Care, Education, and Research Applications to Foundational Models – A Perspective
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Artificial Intelligence in Cardiovascular Medicine: From Clinical Care, Education, and Research Applications to Foundational Models – A Perspective
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Maximizing Large Language Model Utility in Cardiovascular Care: A Practical Guide
- Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models within Cardiology
- Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications
- Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications
- Role of Artificial Intelligence in Improving Syncope Management
- The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms
- Navigating Competency Based Cardiology Training: Challenges and Successes
- Artificial Intelligence-Driven Electrocardiography: Innovations in Hypertrophic Cardiomyopathy Management
- Interpreting Wide-Complex Tachycardia using Artificial Intelligence
- Genetic Determinants of Vascular Dementia
- Application of Artificial Intelligence in tissue engineering
- Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report
- Digital twins: Reimagining the future of cardiovascular risk prediction and personalized care
- Artificial Intelligence for Cardiovascular Care - Part 1: Advances: JACC Review Topic of the Week
- Artificial intelligence in the clinical laboratory
- An overview of clinical machine learning applications in neurology
- Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review
- A Systematic Review: Do the Use of Machine Learning, Deep Learning, and Artificial Intelligence Improve Patient Outcomes in Acute Myocardial Ischemia Compared to Clinician-Only Approaches?
- Artificial Intelligence and Pediatric Otolaryngology
- The AI Future of Emergency Medicine
- Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
- Artificial Intelligence in Parkinson's Disease: Early Detection and Diagnostic Advancements
- Advancements and Challenges in Cardiac Amyloidosis Imaging: A Comprehensive Review of Novel Techniques and Clinical Applications
- Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis
- Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery
- Design optimization of geometrically confined cardiac organoids enabled by machine learning techniques
- Managing A Patient with Uveitis in The Era of Artificial Intelligence: Current Approaches, Emerging Trends, And Future Perspectives
- Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease
- Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment
- Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques
- Generating Complex Explanations for Artificial Intelligence Models: An Application to Clinical Data on Severe Mental Illness
- Retraction notice to: PO-0437 ARTIFICIAL INTELLIGENCE FOR ANALYSIS OF MOBILE CARDIAC TELEMETRY: Heart Rhythm 2024;21(5Suppl): S467-468
- Artificial Intelligence in Cardiovascular Care - Part 2: Applications: JACC Review Topic of the Week
- Cardiac Amyloidosis: A Comprehensive Review of Pathophysiology, Diagnostic Approach, Applications of Artificial Intelligence, and Management Strategies
- Cardiac Amyloidosis: A Comprehensive Review of Pathophysiology, Diagnostic Approach, Applications of Artificial Intelligence, and Management Strategies
- Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review
- Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
- Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective
- Standardization and clinical applications of retinal imaging biomarkers for cardiovascular disease: a Roadmap from an NHLBI workshop
- Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque
- Navigating the uncommon: challenges in applying evidence-based medicine to rare diseases and the prospects of artificial intelligence solutions
- 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
- Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges
- Artificial intelligence and machine learning for anaphylaxis algorithms
- Addressing Psychologic Distress in Adults With Congenital Heart Disease: Replacing Anxiety With Hope
- The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology
- Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHD
- Artificial intelligence in perinatal mental health research: A scoping review
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
- Biological Age in Congenital Heart Disease-Exploring the Ticking Clock
- Adaptive Functioning and Sleep Quality: Associations in Young Children with Congenital Heart Disease
- Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
- Heart disease symptoms and health-related quality of life in pediatric heart transplant recipients: A serial multiple mediator analysis
- Anxiety and Depression in Adults With Congenital Heart Disease
- Artificial Intelligence in Autoimmune Bullous Dermatoses
- Evidence-Based Learning Strategies in Medicine Using AI
- Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
- Quantifying brain-functional dynamics using deep dynamical systems: Technical considerations
- SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions
InAI