Spine

Introduction

Lower back pain (LBP) is one of the most common reasons why people visit their doctor or go to urgent care. However, studies have found that the success rate for spine surgery does not always meet the expectations. On the other hand, early identification may not always be possible due to a heavy demand for radiologists and specialists. The overall time for a diagnosis could take many weeks to complete since it may include referral and waiting time for a specialist doctor and the time for a medical scan and the subsequent analysis.

About Spine AI

Spine AI is a software for the analysis of spinal images obtained with MRI, X-ray and CT Scan. Spine AI aims to assist with reading medical images of the spine, providing information about detected pathologies and measuring spine parameters. Additionally, it clearly identifies and alerts the user of the presence of spine anomalies. Furthermore, Spine AI incorporates a workflow-driven, task-based user design, as well as real-time analytical reports. Spine AI uses machine learning algorithms based on fully convolutional neural networks combined with insights from the medical field.

Our Features

  • Annotation tools

    • Use of active learning to save time doing annotation

    • Flexible annotation: Detection, Segmentation, Classification

  • Data Management

    • Reception, storage and process structured and unstructured data

    • Anonymity of patient information

    • Dicom viewer

  • Diagnosis detection

    • Work in several modalities (CT, X-ray, MRI)

    • Auto-generated medical report by AI

    • AI doctor assistant detects several diagnostics: herniation, bulging, central spinal stenosis, spondylolisthesis, retrolisthesis.

    • Measurement spine parameters

    • Segmentation multi-view (axial, lateral)