Diagnostic assistance, quantification, characterization, image reconstruction: medical artificial intelligence at your fingertips for radiology.
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Rayvolve

AI-driven tool for detecting bone fractures, analyzing chest radiographs, assessing bone age and performing angles.

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Rayvolve AI Suite by AZmed is an advanced AI-driven tool for detecting bone fractures, analyzing chest radiographs, assessing bone age and performing angles. It automatically detects and locates abnormalities on standard X-ray images using artificial intelligence - supporting radiologists, emergency physicians and other medical professionals in their diagnostic process.

Rayvolve CE

AZTrauma

AZtrauma detects fractures, dislocations and joint effusions on standard radiographs of the following body parts: hand, wrist, forearm, elbow, arm, shoulder, foot, ankle, neck, knee, hip and spine (including the cervical spine). The system can differentiate old and fresh fractures. The system can analyze radiographs of both adult and pediatric patients, with no age restrictions, on adults and pediatrics.


AZChest

AZchest detects consolidation, pneumothorax, cardiomegaly, pulmonary nodule, pleural effusion, rib fracture and acute pulmonary edema. The system can analyze radiographs of both adult and pediatric patients, with no age restrictions: on adults and pediatrics.


Azmeasure & Azboneage

AZmeasure automatically calculates lengths and angles of the hip, lower extremity, spine and foot. The system can analyze radiographs of both adult and pediatric patients.
AZboneage is an AI-based solution for automatic assessment of skeletal maturation from hand and wrist radiographs in pediatric patients. It provides bone age estimation based on the Greulich and Pyle (G&P) method.


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Publications

  1. Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs. Fu T, Viswanathan V, Attia A, Zerbib-Attal E, Kosaraju V, Barger R, Vidal J, Bittencourt LK, Faraji N. Acad Radiol. 2024 May;31(5):1989-1999. doi: 10.1016/j.acra.2023.10.042. Epub 2023 Nov 22. PMID: 37993303.

  2. Comparison of diagnostic performance of a deep learning algorithm, emergency physicians, junior radiologists and senior radiologists in the detection of appendicular fractures in children. Gasmi, I., Calinghen, A., Parienti, JJ. et al. Pediatr Radiol 53, 1675–1684 (2023).

  3. Evaluation of the Performance of an Artificial Intelligence (AI) Algorithm in Detecting Thoracic
    Pathologies on Chest Radiographs. Bettinger H, Lenczner G, Guigui J et al. Diagnostics. 2024;14(11):1183.

Regulatory

Rayvolve device is a regulated health product that bears the CE mark, Class IIa. Notified Body: BSI. n°2797. Manufacturer: AZmed.​ Rayvolve is a diagnostic tool and shall not be used alone to recommend medical care for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact contact@incepto-medical.com for more information. Last update: 2026/05/27

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