MediAI-BA

by Crescom  · Based in South Korea → — AI-powered musculoskeletal (MSK) image analysis software
Endocrinology Pediatrics Radiology
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Regulatory Status Disclosed

Overview

MediAI-BA by Crescom Co. is a web-based artificial intelligence solution designed for the automatic analysis of bone age, skeletal maturity indicators, and adult height prediction. It utilizes a patented hybrid analysis algorithm that combines both Greulich-Pyle (GP) and Tanner-Whitehouse 3 (TW3) methods to provide accurate and precise bone age analysis values on a monthly basis. The system analyzes both the entire hand area and detailed bone maturity of major growth plate regions from X-ray images. This tool is specifically developed for musculoskeletal image analysis and is not a physician directory. Crescom Co. also offers other AI-powered solutions for knee osteoarthritis (MediAI-OA) and wrist fracture analysis (MediAI-FX).

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automatic bone age analysis (GP and TW3 hybrid)
  • Skeletal maturity indicator
  • Adult height prediction (AHP)
  • Growth status tracking
  • Analysis of key regions of interest (ROI) in bone
  • Fast analysis results (less than 5 seconds)
  • Supports DICOM, JPEG, JPG, PNG image inputs
  • Generates structured reports in HTML and PDF
  • Integration with PACS (Picture Archiving and Communication System)
  • Stand-alone web-based operation

Use Cases

  • Diagnosis of growth disorders
  • Assessment of short or tall stature
  • Evaluation of early or late puberty
  • Orthodontic planning
  • Management of child obesity
  • Regular growth plate check-ups

What Physicians Need to Know

DICOM Support & Standards
MediAI-BA supports standard DICOM formats for input images.
PACS Integration Method
MediAI-BA can be integrated into a standard reading environment (PACS) or used as a stand-alone web-based solution. The platform stores and routes imaging studies, connects them to AI tools for analysis, and presents the results alongside the images for review within the radiologist's normal workflow.
Reading Room Workflow Impact
The software is designed to integrate seamlessly into existing radiology workflows without disruption, retraining, or loss of control. It aims to provide AI support where it helps, without requiring separate systems or logins. When less experienced doctors refer to MediAI-BA, the absolute error in bone age reading is significantly reduced, improving accuracy. It can analyze pediatric hand X-rays in about five seconds.
AI Model Architecture (deep learning approach)
MediAI-BA utilizes a hybrid artificial intelligence deep learning analysis technique. This method integrates and improves upon the Greulich-Pyle (GP) and Tanner-Whitehouse 3 (TW3) methods for bone age assessment. The deep learning approach allows the model to learn complex patterns directly from raw data.
Processing Speed (per study)
MediAI-BA can complete the analysis of a handbone radiograph for growth assessment in under 10 seconds. Some reports indicate it can analyze pediatric hand X-rays in about five seconds.
FDA Clearance Pathway (510k/De Novo)
MediAI-BA received 510(k) clearance from the U.S. Food and Drug Administration (FDA). It is classified as a Class II automated radiological image-processing software under product code QIH.
Supported Modalities (CT/MRI/X-ray/US)
MediAI-BA is designed for X-ray images, specifically hand-wrist radiographs.
Sensitivity & Specificity Data
Performance testing for MediAI-BA using 600 U.S. cases across 5 sites showed that 89% of cases had a difference of less than 0.5 years between ground-truth values and software output. The mean absolute difference (MAD) between the AI result and the standard reference by specialists was 0.39 years (95% confidence interval, 0.33-0.45). One study reported a Mean Absolute Error (MAE) of 0.59 years.
RSNA/ACR Validation
Mass General Brigham (MGB) Department of Radiology in Boston has begun clinical validation of MediAI-BA. This study will compare AI-generated readings with expert clinical interpretations and assess clinical validity, usability, and user feedback in a U.S. radiology environment.
Physician Tip

MediAI-BA can significantly reduce the time spent on bone age assessment and provide objective data for growth analysis and adult height prediction. The hybrid AI approach aims to overcome limitations of traditional methods, offering improved accuracy. However, as with any AI tool, clinical judgment remains essential, and the FDA states that results should not be relied upon alone for diagnostic decisions. The integration with a mobile platform (Onzaram) can facilitate communication with parents and track growth over time.

MediAI-BA is designed for seamless integration with existing PACS and hospital infrastructure, supporting DICOM standards. It can also be used as a stand-alone web-based solution. The platform aims to connect imaging with electronic health records (EHR) and other clinical systems, allowing radiologists and referring physicians to view studies within the patient's clinical context. The system is built to support HIPAA and GDPR requirements.

Details

Category Radiology & Imaging AI
Pricing Unknown
Free TrialUnknown
DeploymentCloud-based, Stand-alone web-based, Integration in standard reading environment (PACS).
Mobile App1
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Endocrinology, Pediatrics, Radiology

What the Web Says

MediAI-BA by Crescom is an AI-powered, web-based solution designed for automated bone age analysis, skeletal maturity indication, and adult height prediction, primarily for pediatric patients. It utilizes a hybrid deep learning algorithm combining both Greulich and Pyle (GP) and Tanner-Whitehouse (TW3) methods to overcome the limitations of each individual method. The solution has received FDA 510(k) clearance as a Class II medical device and is currently in use in over 500 hospitals and clinics globally. It aims to provide accurate and rapid bone age readings, improving diagnostic efficiency for medical professionals.

Overall: Positive

Strengths

  • Automated and rapid bone age analysis (within 5 seconds).
  • Hybrid analysis algorithm combining GP and TW3 methods for improved accuracy.
  • Provides skeletal maturity indication and adult height prediction.
  • FDA 510(k) cleared as a Class II medical device.
  • High accuracy, comparable to specialists, with an average absolute difference of 0.39 years.
  • Integrates with a mobile application ('Onzaram') for parents to track their child's growth.

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Based on reviews from: crescom.ai, healthairegister.com, parikhradiology.com, glass.health, youtube.com, researchgate.net, bioworld.com, medica.de, voiceofasean.com, nu.edu.pk, reddit.com, capterra.com, trustpilot.com, g2.com

Last updated: 2026-10-29

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Press & Coverage

PR Newswire
Crescom Launches Global PoC of Pediatric Musculoskeletal AI with Mass General Brigham
Crescom has initiated a global clinical Proof of Concept (PoC) for its pediatric musculoskeletal AI solutions, including MediAI-BA, with Mass General Brigham. This collaboration aims to validate the clinical efficacy and real-world usability of the AI tools in a leading U.S. healthcare setting.
2026-06
AuntMinnie.com
MGB Radiology begins clinical validation of Crescom MSK AI
Mass General Brigham's Department of Radiology has commenced clinical validation of Crescom's three pediatric musculoskeletal AI tools, including MediAI-BA, to establish a strong clinical track record in the North American market. MediAI-BA has already received FDA 510(k) clearance in the U.S. and regulatory approvals in other countries.
2026-06
Applied Radiology
Crescom Initiates Pediatric Musculoskeletal AI Validation with Mass General Brigham
Crescom has launched a global clinical proof of concept study with Mass General Brigham's Department of Radiology to validate its pediatric musculoskeletal AI solutions, including MediAI-BA, which has FDA 510(k) clearance. The study will assess clinical validity and real-world applicability, gathering user feedback for refinement and potential commercialization.
2026-06
Orthopedic Design & Technology
Crescom, Mass General Brigham Launch PoC of Pediatric Musculoskeletal AI
Crescom and Mass General Brigham have initiated a clinical Proof of Concept for pediatric musculoskeletal AI solutions, including the FDA 510(k) cleared MediAI-BA. Radiologists at Mass General Brigham will compare AI-generated readings with expert interpretations to assess clinical validity and usability.
2026-06
BioSpectrum Asia
Korea's Crescom inks MoU with UKM Medical College in Malaysia for bone age analysis
Crescom has signed a joint research agreement with the Faculty of Medicine at the National University of Malaysia (UKM) to verify the accuracy of its bone age analysis AI solution, 'MediAI-BA'. This study aims to accumulate clinical data for overseas regulatory approval and market entry in Southeast Asia.
2026-08
Children (MDPI)
Comparison of Two Artificial Intelligence Programs for Bone Age Assessment Using Hand–Wrist Radiographs in Korean Children and Adolescents Undergoing Orthodontic Diagnosis
This study compared bone age estimates from Crescom's MediAI-BA and VUNO Med-BoneAge® in Korean children and adolescents, finding that MediAI-BA provided clinically useful adjunctive information for skeletal-maturity assessment. MediAI-BA uses AI to analyze hand and wrist X-rays, assisting specialists in determining bone age and providing Skeletal Maturity Indicators (SMI) stages.
2026-08
Health AI Register
Welcoming Crescom to Health AI Register!
Health AI Register has welcomed Crescom, highlighting MediAI-BA as a web-based AI solution for automated bone age analysis, skeletal maturity indication, and adult height prediction. It features a hybrid analysis algorithm combining Greulich and Pyle and Tanner-Whitehouse methods.
2024-04
Health AI Register
MediAI-BA Product Page
MediAI-BA is a web-based AI solution by Crescom for automatic analysis of bone age, skeletal maturity indicator, and adult height prediction. It is CE certified (Class I) and FDA 510(k) cleared (Class II, K250914), and is supported by four peer-reviewed papers.
2026-10

Videos

Product demos, reviews, and walkthroughs for MediAI-BA.

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Frequently Asked Questions

MediAI-BA is a web-based AI solution designed for the automatic analysis of bone age, skeletal maturity indicators, and adult height prediction from X-ray images of children's and adolescents' hands. It aims to provide objective and consistent interpretation results, minimize inter-reader variability, and support rapid analysis, thereby enhancing diagnostic performance and streamlining clinical workflows.
MediAI-BA has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) as a Class II automated radiological image-processing software, and also has regulatory approvals in Korea, Thailand, and Malaysia. When using AI tools that handle Protected Health Information (PHI), such as MediAI-BA, a Business Associate Agreement (BAA) is legally mandatory to ensure HIPAA compliance, outlining data processing, security, and accountability.
Yes, there are other AI-powered bone age assessment solutions available. For example, VUNO Med-BoneAge® is another AI-based program that provides estimated bone age from hand-wrist radiographs. However, AI-derived bone age estimates from different programs should be interpreted in conjunction with clinical findings and established skeletal maturity indicators, as they may not be interchangeable.
While MediAI-BA offers high accuracy, with clinical trials showing an absolute error of 0.32 years when less experienced doctors use it for reading, it's crucial for clinicians to interpret AI-generated bone age values alongside clinical findings, growth history, and other indicators rather than relying solely on a numerical output. Additionally, like all AI in radiology, concerns exist regarding algorithmic bias, transparency, and medico-legal accountability.
Crescom does not publicly list the pricing for MediAI-BA. Generally, pricing for enterprise AI solutions in healthcare, especially those requiring integration with existing systems like PACS, is often quote-based and negotiated directly with the vendor. The cost can vary significantly based on factors such as seat count, contract length, and the scope of integration.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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