Apps Like Bayes' post-test probability calculator for iPhone and iPad
Calculate disease probability from test results.
The app calculates the post-test probability of diseases using pre-test probability, test sensitivity, and test specificity. It provides post-test probabilities for both positive and negative results.
Bayes' post-test probability calculator screenshots
Ranked alternatives
Showing 801–820 of 1,000 ranked alternatives.


Medmovie AR1
Medmovie, Inc.
Visualize heart anatomy and pathology
Visualize heart valve anatomy and pathology using echocardiographic images. Explore interventional device interactions with anatomy. View cellular and molecular disease processes and drug mechanisms to control blood clots.

Sonic/AEL Mobile for iPhone
Sonic Healthcare USA, Inc.
Secure patient results on iPhone.
The app provides healthcare professionals secure access to patient results from their iPhone. Physicians can view new, unread, and historical patient results, including interpretive notes and flagged abnormalities.








CCS-P Prep: Physician Based
Medical Relevant Inc
Study coding scenarios and test your knowledge
Study for the -P exam with practice questions, flashcards, and detailed explanations. Review coding scenarios, track progress, and access exam guidelines and updates. Practice coding with real-world examples and test-taking strategies.

DAT Biology Cram Cards
Cram Cards, LLC
Study smarter for dental admission test.
The app provides over 2200 digital flashcards for the Biology section of the Dental Admission Test. It includes over 100 pictures and allows users to track their progress and filter cards by keywords.





LIONS PREY
Covenant Data Systems, LLC
Analyze nodules and estimate cancer risk
Estimate cancer risk in lung nodules using AI analysis. Upload imaging scans for evaluation. View probability scores and malignancy likelihood. Provide educational insights on lesion classification. Not a substitute for professional medical advice.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.