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Measurement software LAMA™
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Measurement software - LAMA™ - Imagebiopsy Lab - medical / clinical / radiology
Measurement software - LAMA™ - Imagebiopsy Lab - medical / clinical / radiology
Measurement software - LAMA™ - Imagebiopsy Lab - medical / clinical / radiology - image - 2
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Characteristics

Applications
medical, clinical, radiology, surgery, for bone profile
Function
image analysis, reporting, measurement, calibration
Area of the body
lower limb, spine, hip, leg, femur, tibia, knee
Type
automated
Deployment mode
web-based, for tablet PC
Other characteristics
automated

Description

Leg length differences and alignment problems are widespread, affecting around 70% to 90% of the population . These issues often lead to imbalances, unilateral pain, and can trigger degenerative changes in vital areas like the hips, spine, and knees . The resulting degenerative diseases have seen a significant increase in procedures like total knee replacements, with a doubling in incidence between 2000 and 2016 . Addressing these problems is crucial for overall musculoskeletal health Solutions LAMA™ offers complete automation, reducing the need for manual measurements and ensuring consistently accurate results. It significantly increases efficiency, reducing reading times for full-leg radiographs. Additionally, it maintains a consistent level of precision, comparable to expert readers, and accurately measures leg length discrepancies when compared to expert assessments. Precise Deep learning technology enables automated and precise measuring of leg geometry within of ≤1° to evaluate lower limb deformities Quick results Implant support LAMA™ now supports radiographs with total hip and total knee implants, providing 12 standardized measurements for both pre- and post-surgery radiographs Product description LAMA™ uses deep learning technology for automated and precise measuring of leg geometry to evaluate lower limb deformities. Findings ● Mechanical Axis Deviation ● Femur length ● Tibia length ● Full leg length ● Length difference between legs (for bilateral images in the absence of THA) Benefits Automated Quicker pre-selection by instantly triaging normal and abnormal cases Efficient Increases workflow efficiency by saving reading and reporting time ‍

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