Apps Like SUPPORT+ 2.0 for iPhone and iPad
Track symptoms and share updates
Help patients and families track symptoms, manage medications, and access medical resources. Set reminders for treatments and appointments. Connect with support groups and healthcare providers. Share progress and receive care guidance.
SUPPORT+ 2.0 screenshots
Ranked alternatives
Showing 641–660 of 1,000 ranked alternatives.
J2J-MC-JZLH CN
Medable, Inc.
Track study progress and results
Track treatment progress, log symptoms, and receive reminders for medication and appointments. View study-specific updates and communicate with healthcare providers through secure messaging.
eGlobalDoctors
EGLOBAL DOCTORS LLC
Connect with doctors via video or phone
Connect with board-certified doctors for medical consultations via phone or video. Request medical prescriptions as needed. Access 24/7/365 healthcare services including medical, surgical, pharmaceutical, and ancillary care.
PO-Scorad Phone
FONDATION POUR LA DERMATITE ATOPIQUE - RECHERCHE ET EDUCATION
Assess eczema severity in 24 languages
Users input eczema symptoms to calculate a severity score. The provides a visual representation of symptom distribution. Results are shared with healthcare providers. Available in 24 languages.
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.
Lung Cancer Staging v9
Remedium LLC
Stage with clinical precision
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.
IMPACT
Infection Control Branch, Centre for Health Protection, Department Of Health, HKSAR
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.