The app offers a clinical decision support tool for rheumatologic diseases. Clinicians can access curated, evidence-based medical content and ask voice-enabled questions to receive confidence-rated answers for faster decision-making.
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.
Design patient-specific implants and collaborate securely
Collaborate with surgeons and staff on surgical plans. Design personalized implants using patient imaging. Approve plans within a HIPAA-compliant environment. Share and review designs securely. Track project progress and revisions.
Learn to assess dizziness through structured history-taking and bedside exams. View video examples of eye movements and vestibulo-ocular tests. Interpret clinical signs with detailed explanations and guidance.
Tool allows users to input tumor size, lymph node involvement, and metastasis data to determine stage groupings for non–small cell and small cell cancers using the 9th Edition TNM Classification. Results are displayed based on clinical guidelines.
The app presents detailed medical illustrations, CT scans, and 3D rendered images of wrist anatomy. It includes a series of cases demonstrating hand and wrist pathology.