Pediatric Bone Age and Developmental Assessment

Get Demo

In the MSK-diagnostic sector, a large number of challenges arise for different target groups...

  • Medical staff requires reliable reading results to decide on the best diagnostic pathway  
  • Patients are looking for trustworthy insights into the status and progress of their (bone) disease
  • Physicians are spending more time on manual image analysis and result reporting tasks than actually reviewing the optimal pathway with the patient   
  • Diagnostic results are reported in a subjective, non-standardized manner by specialists and non-specialists alike
  • And many more...

The Challenge

We are stuck in an analog pediatric workflow.

Radiographic bone age assessment is a part of the clinical assessment of skeletal maturity to diagnose growth disorders and decision-making for therapies delaying or preventing physical growth and development. Conventional measurement of hand radiographs for assessing bone age according to the Greulich & Pyle method is tedious, taking up to 9 minutes [1]. Using lookup tables and comparing pictures manually with the Greulich & Pyle reference atlas requires high focus and precision, often resulting in a significant intra- and inter-reader variability [2].

The Solution

An example in applying AI-supported software in pediatric image analysis  

IB Lab PANDA applies for the latest advances in AI network technology to provide a swift and fully automated solution to calculate the bone age according to Greulich & Pyle. PANDA offers a standardized solution to facilitate the monitoring of child growth and development.

IB Labs PANDA is unique in its way of achieving a zero-click, seamless integration into existing reporting workflows. Industry-standard output formats enable customizable report generation.  Results are calculated within seconds, stored in PACS, and are available in the DICOM viewer as printable PDF reports for the referring physicians.

Opportunities for physicians and patients: We bring the Digital Age into Pediatric Radiology  

  • Full digital assessment workflow saves time: less than 5 seconds for calculating and reporting the pediatric bone age according to Greulich & Pyle
  • Reducing reader fatigue enhances the consistency in reading and reporting of hand radiographs for bone age and height estimation

Standardized time-series analyses facilitate monitoring and forecasting of physicians’ therapeutic success

What experts say

Jack Farr - Orthopedist

ImageBiopsy AI software is highly accurate and efficient within our PACS system, which provides valuable information on the status of the knee along the continuum of chondrosis to arthrosis.

Jack Farr, MD

The integration of the AI ​​solutions by ImageBiopsy Lab into our RIS and PACS is easy and well done. It is fun to work with and the clarity of the visualized report is an ideal support for our patient consultation.

Jochen Mueller-Stromberg, MD

AI-based solutions reduce the amount of work and the findings become more accurate. An objective value is given which can be used both for monitoring and forecasting the progress. We offer something that others don’t have.

Michael Gruber, MD

Exact diagnosis and reproducible follow-up exams are indispensable for a successful osteoarthritis therapy. Software-based methods can assist the physician in the therapy management and adjustment process.

Stefan Nehrer, MD