LOGIQ E10

The LOGIQ E10 is a comprehensive diagnostic ultrasound system intended for diverse clinical imaging applications, utilizing established ultrasound principles like Doppler, elastography, and 3D/4D imaging. It incorporates advanced AI-driven software assistants for automated measurements and view suggestions, alongside new probe compatibility, to improve diagnostic efficiency and user workflow.

The LOGIQ E10 is a full-featured, general-purpose diagnostic ultrasound system designed for a wide range of clinical evaluations, including Fetal/Obstetrics, Abdominal, Pediatric, Small Organ (Breast, Testes, Thyroid), Cardiac, Vascular, Musculoskeletal, and Urological applications. It operates using various modes such as B-mode, M-mode, Pulsed Wave (PW) and Continuous Wave (CW) Doppler, Color Doppler, Power Doppler, Harmonic Imaging, 3D/4D Imaging, Elastography, Shear Wave Elastography, and Attenuation Imaging. The system consists of a mobile console with a computer keyboard, a 12-inch color touch screen, and a 23.8-inch LED LCD monitor, employing the same fundamental scientific technology as its predicate devices for digital acquisition, processing, and display of ultrasound images. The LOGIQ E10 introduces several new software features, including AI-powered assistants like the 'Auto Renal Measure Assistant', 'Auto Abdominal Color Assistant', and 'Auto Preset Assistant'. The Auto Renal Measure Assistant, validated on 30 patients (60 images), demonstrated high accuracy for kidney length (96.45%) and width/height measurements (approx. 93%). The Auto Abdominal Color Assistant, tested with over 1100 images from 50+ patients, aims for an 80% or higher success rate in suggesting views for organs like the aorta, kidney, and liver. Similarly, the Auto Preset Assistant, evaluated with over 2600 images from 110+ patients, targets an 80% or higher success rate for view suggestions across various anatomical regions. The system also adds support for new probes (L4-20t-D, P8D) and the Vscan Air CL wireless transducer, alongside features like Raw Data Streaming and Auto EF2.0.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. How does the performance of the 'Auto Renal Measure Assistant' vary with different types or grades of renal pathology not extensively covered in the 30-patient validation set?; What are the specific image features and machine learning algorithms utilized by the 'Auto Abdominal Color Assistant' and 'Auto Preset Assistant' for anatomical recognition, and what is their robustness against atypical patient anatomy or suboptimal image acquisition?; Were there any statistically significant differences in the AI assistants' performance (e.g., Auto Renal Measure, Auto Abdominal Color, Auto Preset) when analyzing data from different ethnic groups or geographical locations included in the validation datasets?; What is the learning curve for clinicians to effectively utilize the new AI assistant features, and how do these features impact overall examination time and diagnostic confidence?; How does the 'Raw Data Streaming/Network Streaming' capability ensure data integrity and security, and what are the validated applications for this feature in terms of research or remote diagnostic support?