BiTTE® vs RADS Guide

Outline: BiTTE®-iE, an AI software to support microbial estimation (non-medical device), is a system to support microbial estimation for Gram stained images by utilizing AI image analysis technology. It can be linked to local antibiograms. * Patented (Patent No. 7090302) How to use: The field of view of a Gram-stained image observed under a microscope at 1,000x magnification is captured as an image with a digital zoom of 1.9x through a smartphone camera, and the image is used for estimation by AI. Seven types of bacteria are classified: Gram-positive/negative, rod/coccus, yeast-like fungi, multiple bacteria, and no bacteria. In addition, 15 classification results including specific fungal species are also provided for reference. The recommended conditions for ideal accuracy are as follows Staining method : Barmy method Image size : W3024 x H4032 Magnification : Digital zoom 1.9x The antimicrobial drug candidate list screen displays a list of antimicrobial drug candidates based on the drug susceptibility test statistical data for the prefecture selected at the time of registration for the presumed species. You can also check the results by changing the minimum susceptibility rate, spectrum score, and the order of AWaRe classification proposed by WHO. Please help us improve the accuracy of microbial estimation: 　Access the Specimen Summary screen from the home screen of the application and enter the culture results to compare them with the information at the time of estimation. 　The culture results and image data will be used to improve this service for the purpose of improving the accuracy of microbial estimation. Please register your culture results. Instruction Manual: Please search for "CARBGEN BiTTE-iE" in your browser and access the product page of BiTTE®-iE. Click the link "Click here for the instruction manual" in the middle of the page. The manual also includes detailed information on precautions for use (slides and images to be estimated), so please be sure to check it out. Others: If you use this application for estimation targets other than microorganisms observed with an optical microscope, or if you use this application based on inappropriate methods that do not comply with the contents of the instruction manual, there is a possibility that this application will not output the estimation results that you are aiming for. Example)　 Images taken by other than optical microscopes General images not related to microbiological inspection Images taken with a smartphone camera after displaying the field of view of an optical microscope on a PC monitor Glass slides made using methods other than those recommended. We will continue our efforts to provide better services in the future. Thank you for your continued support of BiTTE®-iE.

Download includes a free trial; continued use requires a 1- or 12-month auto-renewing subscription. RADS Guide (LI-RADS, PI-RADS, O-RADS & more) is a clinical decision-support reference built around widely used “RADS” structured reporting systems. It delivers point-of-care, step-by-step category guidance so you can classify findings consistently, communicate risk clearly, and align follow-up recommendations—whether you practice in radiology or a related specialty. --- Key Features (unlocked after the free trial with an active subscription) Multi-RADS Integration • In-app access to the core categories, definitions, and management/reporting guidance across: LI-RADS, PI-RADS, O-RADS, C-RADS, CAD-RADS, Lung-RADS, TI-RADS, and Bone-RADS—organized for fast, practical use at the workstation or clinic. Dynamic Category Card • A single, interactive card that updates in real time as you select key inputs (e.g., modality/context and relevant imaging features)—instantly surfacing the appropriate RADS category and next-step guidance. System Quick-Switch • In a few taps, jump between LI-RADS, PI-RADS, O-RADS, C-RADS, CAD-RADS, Lung-RADS, TI-RADS, and Bone-RADS so you can stay in flow while reading diverse studies. Category-First Reporting Support • Clear, concise category summaries designed to support standardized impressions and reduce variability—helping you stay consistent across shifts, sites, and readers. Self-Assessment Mode • Expert-curated question packs that spotlight high-yield thresholds, common pitfalls, and diagnostic pearls to reinforce your understanding of the RADS frameworks. Enhanced Readability • Dark-mode support, dynamic text sizing, and a distraction-free interface optimized for hectic reading environments. Offline Access • All guideline logic runs on-device—no login or server required. Medical Disclaimer: This app is for informational purposes only and is not a substitute for professional medical advice. In addition to using this app, always consult a qualified healthcare provider for diagnosis and treatment decisions. SUBSCRIPTION OPTIONS ¹ • 1-Month subscription (free trial available) | Price displayed in-app; may vary by region • 12-Month subscription (free trial available) | Price displayed in-app; may vary by region We aim to add ACR RADS updates as soon as possible, usually within 30 days of publication. We plan to add new self-assessment question packs about every 6 months. Future feature additions and update frequency may change without notice. ¹ Payment & Renewal – Payment is charged to your Apple ID at confirmation. Subscriptions renew automatically unless auto-renew is turned off at least 24 hours before the end of the current period. Manage or cancel anytime in Settings ▸ Apple ID ▸ Subscriptions. Note: If you switch plans or re-subscribe during the free trial, the remaining trial time is lost and you will be charged immediately. Privacy Policy: https://radiologiq.squarespace.com/privacy Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/