Rounds AI vs ILD Patterns

Rounds AI - Evidence-Based Answers at the Point of Care Ask any clinical question and get a clear, source-backed answer in seconds. Rounds AI helps clinicians quickly find evidence-based information drawn from clinical guidelines, FDA drug labels, and published medical literature. Whether you are on rounds, preparing for boards, or working through a treatment decision at the bedside, Rounds AI is built to deliver fast, practical answers with citations you can review yourself. How it works: - Ask a clinical question in plain language - Receive a concise answer grounded in medical evidence - Open the cited sources to verify the underlying support Why 39,000 clinicians use Rounds AI: - Fully cited responses: Every answer is supported by references to guidelines, drug labels, and peer-reviewed research - Fast clinical lookup: Skip long searches and get a focused synthesis designed for point-of-care use - Pharmacology and drug support: Check dosing, contraindications, interactions, and mechanisms in one place - Board review and learning: Reinforce differentials, treatment frameworks, and high-yield concepts wherever you are - Guideline-aligned decision support: Surface current recommendations to support more confident clinical decision-making - Private and secure: Built with privacy, security, and HIPAA-aware workflows in mind Built for: Medical students, residents, fellows, attending physicians, nurse practitioners, and every type of clinician. Used across training and care environments: - Rounds AI is designed for individual clinicians and learners, and is relevant across hospitals, residency programs, clinics, and universities where fast access to cited medical information matters. What you can do with Rounds AI - Look up medications, contraindications, adverse effects, and interactions - Explore conditions across specialties in real time - Read concise summaries of literature with linked supporting sources - Study for exams, shelf tests, and boards with practical clinical context - Work through differential diagnoses using evidence-backed reasoning - Review guideline-directed treatment and next-step management options No setup. No training. No steep learning curve. Just open the app and ask. NOTE: We do not offer medical advice. Any and all recommendations should be viewed as suggestions. Platform terms: https://www.joinrounds.com/platform_terms/ Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

ILD Patterns puts the 2025 ERS/ATS interstitial pneumonia classification in your pocket — built for pulmonologists, pulmonary fellows, residents, radiology trainees, and medical students who want fast, structured HRCT morphology study without digging through PDF tables. Use the pattern analysis tool or the Pattern listing descriptions on-the-go. Medical education and 2025 guideline-based educational referencing. EDUCATIONAL USE ONLY — NOT FOR PATIENT DIAGNOSIS This app is for professional education and self-study. It is NOT medical advice, NOT software as a medical device (SaMD), NOT clinical decision support, and NOT intended for patients. Outputs are educational morphology suggestions only. PATTERN TOOL — EDUCATIONAL RANKING ENGINE • Select HRCT imaging features across six ABCDEF groups (distribution, density, signs, and more) • Generate an educational ranked morphology differential across major interstitial patterns and rare alveolar-filling patterns (Table 2 + Supplementary Table S2) • Tap any result for a detail sheet: supporting features, features arguing against, Table 1 associated diagnoses, pathology excerpts, and Table 4 combined-pattern references • Review educational fit badges, conflict cautions, combined morphology notes, and an anchor eligibility checklist • Ideal for fellows learning systematic ILD review, residents on pulmonary rotations, and attendings teaching pattern recognition PATTERN LIST — FULL GUIDELINE REFERENCE LIBRARY • Browse verbatim ERS/ATS 2025 tables: UIP, NSIP, BIP, DAD, PPFE, LIP, organising pneumonia, RB-ILD, AMP, and rare alveolar-filling patterns (PAP, eosinophilic pneumonia, lipoid pneumonia) • Clinical, radiological, and pathological columns plus Table 1 secondary and primary diagnoses • Table 3 organising pneumonia subpatterns (OP, AFOP, CiOP) • Table 4 combined radiological-histological patterns with common differential diagnoses • Free tier includes a sample of entries; Premium unlocks all 22 expandable reference cards WHO IT'S FOR • Pulmonologists and pulmonary fellows building fluency with the 2025 classification • Internal medicine and pulmonary residents on ILD rotations • Medical students learning HRCT morphology vocabulary • Radiology trainees aligning pattern language to ERS/ATS tables • Educators preparing teaching sessions, M&M discussions, or board-style review FREE & PREMIUM FREE INCLUDES: • 5 educational pattern interpretations (Pattern Tool) • Sample Pattern List entries to explore the guideline library ILD PATTERNS PREMIUM: • Unlimited educational pattern rankings • Full Pattern List — every morphology entry, OP subpattern, and combined-pattern group • Restore purchases on the same Apple ID PRIVACY BY DESIGN • No logins • Rankings stay on your device; developer does not collect feature selections or analytics GUIDELINE SOURCE Ryerson CJ, Walsh SLF, Sverzellati N, et al. An update of the international multidisciplinary classification of the interstitial pneumonias. Eur Respir J. 2025;66:2500158. IMPORTANT LIMITATIONS Outputs are educational morphology suggestions based only on user-selected imaging features. They may be incomplete or incorrect. Educational rankings do not replace multidisciplinary discussion, radiology or pathology review, institutional protocols, or independent clinical judgement. Numeric scores are an educational approximation of qualitative guideline language and have not been validated against patient cohorts. Fit badges reflect educational morphology alignment — not ERS/ATS multidisciplinary diagnostic confidence percentages. SUBSCRIPTION TERMS Payment charged to your Apple ID at confirmation. Subscription automatically renews unless cancelled at least 24 hours before the end of the current period. Manage or cancel in App Store account settings. See in-app Subscription Terms and Privacy Policy. Support/Privacy Policy/EULA: https://github.com/knispow/ild-patterns/blob/5a2bbb6d11861d2ccd3245aad7e5bb2c7902a757/README.md