ChatGPT response consistency to the 2025 ESC/EACTS guidelines for the management of valvular heart disease: A test–retest study using binary and multiple-choice questions - Scorecard - MDSpire
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ChatGPT response consistency to the 2025 ESC/EACTS guidelines for the management of valvular heart disease: A test–retest study using binary and multiple-choice questions
Clinical Scorecard: Evaluating the Consistency of ChatGPT Responses in Relation to the 2025 ESC/EACTS Guidelines for Valvular Heart Disease Management: A Test-Retest Analysis Utilizing Binary and Multiple-Choice Formats
At a Glance
Category
Detail
Condition
Key Mechanisms
Management of VHD includes surgical or transcatheter interventions, medical therapy (e.g., diuretics, beta-blockers), and anticoagulation strategies (e.g., warfarin, direct oral anticoagulants).
Target Population
Care Setting
Key Highlights
AI tools like ChatGPT are being explored for clinical decision support in cardiology, particularly in enhancing diagnostic accuracy and treatment planning.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Regular follow-up and assessment of treatment efficacy and patient outcomes, including echocardiographic evaluations every 6-12 months.
Risks
Patient & Prescribing Data
Patients with diagnosed Valvular Heart Disease.
Management strategies should align with the latest clinical guidelines.
Clinical Best Practices
Incorporate guideline-based information in clinical practice and ensure AI tools are integrated into existing clinical workflows for optimal decision-making.
In a multicenter registry study, genetic diagnoses were associated with substantially lower cognitive, language, and motor scores; while birth weight, surgical timing, hospitalization burden, and caregiver education were also associated with outcomes.
