249+ iOS apps curated and reviewed
Whether you're new to nodulerisk or looking for an upgrade, our curated collection of 249+ iOS apps has something for everyone. Each app is reviewed and rated by real users, helping you make an informed decision.
| # | App | Price | Rating | Ads | In-App Purchases | Updated |
|---|---|---|---|---|---|---|
| 1 |  | Free | — | No | No | May 2026 |
| 2 |  | Free | 5.0★ (2) | No | No | Jun 2026 |
| 3 |  | Free | — | No | No | Jul 2026 |
| 4 |  | Free | 4.6★ (36) | No | Yes | Jul 2026 |
| 5 |  | Free | 5.0★ (1) | No | Yes | Jul 2026 |
| 6 |  | Free | 4.8★ (17) | No | Yes | Aug 2026 |
| 7 |  | Free | 4.5★ (76) | Yes | No | May 2026 |
| 8 |  | Free | 4.9★ (12K) | No | No | Aug 2026 |
This medical tool provides clinicians with quick access to risk prediction and volume doubling time calculators for pulmonary nodules. It incorporates recommendations from the British Thoracic Society to aid in diagnosis and patient management, summarizing key guidelines.
This clinical decision-support tool helps healthcare professionals evaluate and manage lung nodules. It integrates the latest Fleischner Society Guidelines and ACR Lung-RADS v2022, offering step-by-step guidance for standardized recommendations.
This decision-support tool helps clinicians apply guidelines for incidental pulmonary nodules on CT scans. It provides structured recommendations, interactive timelines, and visual aids for consistent, informed decision-making at the point of care. Features include malignancy risk calculation and offline access.
This clinical decision-support tool helps healthcare professionals categorize lung nodules and determine follow-up actions based on ACR Lung-RADS v2022 guidelines. It offers step-by-step guidance, real-time score updates, and integration of incidental findings for consistent application of recommendations.
Estimate your personal risk for 26 types of cancer based on over 350 scientific risk factors. View results for 10, 20, and 30-year timeframes, with detailed breakdowns. This app is for educational purposes only and does not replace professional medical advice.
This app provides healthcare professionals with evidence-based clinical decision support and medical information. It acts as a search engine, sourcing answers from peer-reviewed literature and leading medical organizations to aid in high-stakes medical decisions at the point of care.
This app provides over 900 evidence-based medical calculators, risk scores, and clinical tools for healthcare professionals. It offers offline functionality, expert insights, and CME tracking to support patient care at the bedside. Tools are developed and validated by board-certified physicians.
This clinical tool assists medical professionals in rapidly determining lung cancer staging using the latest 9th Edition TNM Classification. It offers an intuitive interface for inputting patient data and provides instant, evidence-based stage calculations for informed decision-making at the point of care.
This tool is designed for medical professionals to assist in managing patients diagnosed with cutaneous squamous cell carcinoma. It provides a specific data point to aid treatment decisions, but does not replace clinical guidelines or offer diagnostic help.
This app provides oncology professionals with a comprehensive suite of decision-support tools. It offers access to treatment protocols, survival rates, medical calculators, toxicity criteria, staging information, drug details, and news, all designed to aid in patient care and save time.
This clinical decision-support tool provides step-by-step guidance for evaluating and managing incidental imaging findings based on the latest ACR recommendations. It offers dynamic management cards, organ-system quick-switching, and built-in radiology calculators for point-of-care use.
This app provides systematic decision support for determining the appropriateness of Mohs surgery for skin cancer treatment. It guides users through various scenarios, tumor characteristics, and patient factors, offering color-coded body maps and clinical algorithms.
This clinical decision support tool provides healthcare professionals with evidence-based guidance to improve patient care. It features AI-powered conversational answers, continuously updated medical content, and tools for drug reference, calculations, and patient education.
This app helps patients and doctors understand thyroid nodules and cancer. It uses your medical data to provide risk assessments, visualize nodule growth, and suggest potential next steps like biopsies or surgery. It focuses specifically on nodules and cancer, not general thyroid function.