View patient analyses and 3D models
View patient 3D models with FFRct values. Track analysis status and manage patient lists. Preview 3D models for non-customers. Access personalized cardiac data for clinical decision-making.
Showing 361–380 of 1,000 ranked alternatives.
Matthias Unterhuber
Predict treatment response with XGBoost models
Predict individual response to spironolactone therapy in HFpEF patients using a gradient-boosting model. Input patient data to estimate treatment effect. Provides research-based predictions for clinical validation.
Cranworth Medical Ltd
Prevent and treat thrombosis quickly effectively.
The app provides quick access to information for preventing, diagnosing, and treating thromboses in adult inpatients. It was created by the Professor of thrombosis and haemostasis and the team at Guy’s and St Thomas’ NHS Foundation Trust.
The University of North Carolina at Chapel Hill
Track symptoms and share health data
Track symptoms and medication adherence. Receive educational content about adrenal crisis. Set reminders for check-ups and appointments. Share progress with healthcare providers. Monitor disease-related symptoms over time.
COLLABORATIVE NETWORK 4 CLINICAL EXCELLENCE, LLC
Track symptoms and medications
Track symptoms, medications, and episodes for atrial fibrillation management. Log daily activity and complications. Sync heart rate data from Apple HealthKit. Share patient-reported outcomes with clinicians for treatment decisions.
Dr. Katz, Inc.
Access patient records securely
Access patient records, view test results, and communicate with healthcare providers securely. Send messages, schedule appointments, and receive reminders. View treatment plans and medication details.
UCLA Health System
Estimates survival probability for heart failure.
The app estimates survival probability for chronic heart failure patients. It uses four patient characteristics: medication, symptoms, exercise capacity, and a blood test.
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