Apps Like Mammography Assistant for iPhone and iPad
Detect breast cancer and report mammograms
Select mammogram descriptors and sub-types to determine BI-RADS category using a comprehensive algorithm. View sample images for reference. Save time in breast cancer staging and reporting.
by QUILLR AI PRIVATE LIMITED★ 5.05 ratingsMedicalFreeData updated 2026-10-05
Connect with others who share similar medical conditions. Join communities for specific conditions, ask questions, and read discussions. Find solutions and get support while remaining anonymous.
Access references, imaging protocols, and common findings. Search for conditions, view imaging examples, and compare normal vs. abnormal findings. Set favorite studies and bookmark key resources for quick access.
Scan and solve equations by snapping photos or typing them. Upload assignments for step-by-step solutions. Access explanations and practice problems. Track progress and set study goals. Sync notes across devices.
Access detailed anatomical illustrations with clinical context. View 3D models and cross-sectional views. Annotate images and save notes. Share content with patients or colleagues. Unlock full features via in- purchase.
Store and access records such as patient information, emergency contacts, allergies, medications, prescriptions, and insurance details. Log test results like blood pressure and glucose levels.
Learn about various types including breast, bone, brain, colon, eye, kidney, lung, liver, skin, and others. Explore how starts in cells and covers abnormal growth processes. Access educational content on development and cellular changes.
Medical "View summaries for POCUS tests with sensitivity, specificity, and likelihood ratios. Access ultrasound clips for reference. Compare findings to gold standard tests. Filter by condition and test type."
Manage -related with guided breathing exercises, mood tracking, and daily symptom monitoring. Set reminders for self-care activities. Access coping strategies and connect with study participants for support.
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.