The app offers offline access to adverse event terminology and performance status scales for healthcare professionals. It includes NCI CTC-AE, ECOG, Karnofsky, and Lansky scales, with user notes stored privately in iCloud and exportable as CSV.
by Arpacore B.V.★ 0.00 ratingsMedical$3.99Data updated 2026-09-12
Calculate effective using the LQ model. Input radiation data to determine BED values. Provides academic calculations for research purposes only. Not intended for clinical use.
Access trial summaries through visual abstracts. View key findings, study designs, and outcomes. Search by condition or specialty. Save and organize content for later review. Share summaries with colleagues or students.
Upload medical reports via photo or file. Use AI to explain terminology in MRI, CT, and histopathology results. Get simplified explanations of abbreviations and test findings.
Reference radiographic positions and technical factors
Provides detailed guidance for over 200 radiographic positions. Includes technical factors, image receptor details, patient positioning, respiration instructions, central ray angles, image quality tips, and structures demonstrated.
Access medical research on radiation oncology with direct links to articles and summaries. Search for studies, filter by keywords, and save relevant findings for later review. Share summaries with colleagues or export as PDF.
Access clinical guidelines and quick references for common medical conditions. Search for symptoms, diagnoses, and treatments. View step-by-step procedures and drug information. Share resources with colleagues and annotate notes directly within the .
Terminology with interactive vocabulary exercises and grammar drills. Practice speaking and listening through audio clips and quizzes. Track progress with detailed performance reports and set study goals for exam preparation.
Scan areas to identify potential conditions like moles, rashes, or irritations. Compare images with reference visuals for general insights. Save scans to monitor changes over time. Track health with visual records and pattern recognition.