GERMAINE LABORATORIES, INC 31050 AIM ASO TEST

ShangRing Male Circumcision Device Self-locking

AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.

Camera Head with Integrated Coupler

Key features of the Baxter Hillrom Yellofin stirrups typically include: Lithotomy Positioning: Provides reliable lithotomy positioning with a boot-like design for the lower legs, allowing secure support while minimizing nerve stress. Self-adjusting Boot: The boot is designed to automatically adjust to the patient's anatomy, reducing the risk of pressure injuries. Lift Assist Mechanism: It features an assist mechanism to make leg adjustments smoother and easier for medical personnel. Enhanced Safety: Some models include a secure locking system that prevents unintentional adjustments during surgery. Durability: Made from high-grade materials to ensure longevity and withstand repeated sterilization. This system is widely used in OR environments for its precision and ergonomic advantages for both patients and clinicians.

The Stat Profile Prime Plus Blood Analyzer is a compact, whole blood critical care analyzer that provides rapid and comprehensive results. It measures blood gases, electrolytes, metabolites, and co-oximetry, delivering 32 calculated results. Featuring maintenance-free, replaceable cartridge technology and patented non-lysing co-oximetry, the analyzer produces a complete test panel in about one minute. It also offers bidirectional connectivity and a powerful onboard data management system for efficient data handling and integration

TEST

Tinted Liquid

ShangRing Male Circumcision Device Self-locking

AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.