Pediatric Bone Age and Developmental Assessment

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Radiologists assessing bone age using the Greulich & Pyle method must do a manual comparison of digital radiographs from patients with reference images in an atlas, a time-consuming task with a high level of inter-rater variability.

Labor intensive

Time intensive



A quick and automated method to estimate bone age according to Greulich & Pyle in a standardized format enables radiologists and physicians to supply quick and accurate assessments of child growth and development. IB Lab PANDA™ is here to help!


Excellent Agreement with expert readers, mean difference only 0.77 months

Quick results

8.4 sec calculation time, compared to several minutes of manual lookup of the Greulich and Pyle (G&P) atlas


Using IB Lab PANDA reduced measurement differences by ±4.3 months



of radiologists would use IB Lab PANDA for bone age estimation of hand radiographs if cost were no issue



of radiologists perceive IB Lab PANDA to be useful in their medical practice



of radiologists are likely to ask for PANDA to be installed in their practice

Product description

IB Lab PANDA uses deep learning technology to report bone age based on the Greulich & Pyle scale and saves time by presenting the results within 5 seconds. IB Lab PANDA’s automated bone age measurement according to Greulich & Pyle is precise to 4.3 months mean absolute deviation 3. The derived adult height estimation according to Bailey and Pineau is precise to ±2.5 cm 4. Standardized measurements and reporting schemes facilitate monitoring of treatment progress, highlights relevant clinical findings by applying the latest international medical standards to enable timely and accurate decision making. The findings are summarized in a visual output report, attached to the original x-ray image and saved automatically in the PACS system. The AI-results are fed as text into your pre-defined RIS-template for accelerated reporting. The AI facilitates monitoring of disease progression by facilitating comparison of radiographic disease parameters over time.


Radiological findings, measurements, and results including:

  • Pediatric bone age according to Greulich & Pyle, 
  • Natural standard deviation, 
  • Delayed/advanced bone age patient status, 
  • Growth potential and height estimation according to Bayley&Pinneau.


Saves time

8.4 seconds for calculating the pediatric bone age according to Greulich & Pyle


100% repeatability and standardization of bone age assessment following the latest clinical standards

Reproducible results

Enhances the consistency in reading and reporting of hand radiographs for bone age and height estimation

Easy to monitor

Facilitates monitoring and forecasting of physicians’ therapeutic success

Intended use

IB Lab PANDA uses deep learning technology to report bone age based on the Greulich & Pyle scale and saves time by presenting the results within 5 seconds. The system is to be used by trained medical professionals including, but not limited to, orthopedists and radiologists. It should not be used in-lieu of full patient evaluation or solely relied upon to make or confirm a diagnosis.

  1. D. G. King, D. M. Steventon, M. P. O’Sullivan, A. M. Cook, V. P. L. Hornsby, I.G. Jefferson, and P. R. King: Reproducibility of bone ages when performed byradiology registrars: an audit of Tanner and Whitehouse II versus Greulich andPyle methods, The British Institute of Radiology, 2014.
  2. S.Serinellia, V.Panettab, P. Pasqualettib, D. Marchetti: Accuracy of three agedetermination X-ray methods on the left hand-wrist: A systematic review andmeta-analysis, Legal Medicine, 2011.
  3. Halabi, S. S., Prevedello, L. M., Kalpathy-Cramer, J., Mamonov, A. B., Bilbily,A., Cicero, M., … Flanders, A. E.: The RSNA Pediatric Bone Age Machine LearningChallenge, Radiology, 290(2), 2018. 498–503.
  4. Gaskin, C. M., Kahn, S. L., Bertozzi, J. C., & Bunch, P. M.: SkeletalDevelopment of the Hand and Wrist. Oxford University Press, 2011.
  5. IB Lab Clinical Evaluation Study
  6. Simmons K, Greulich WW. 1944. The Brush Foundation Study of Child Growth andDevelopment: II. Physical Growth and Development. Monogr. Soc. Res. Child Dev.9(1):i–87.

What our customers 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.

Prof. Jochen Hofstätter, MD