MAIA
Traditional AI-driven medical imaging analysis is a complex and time- consuming process. It requires assembling a highly skilled deep learning team while also addressing critical challenges such as ensuring patient privacy, evaluating model accuracy, and aligning outputs with clinical requirements. These factors often delay the adoption of AI in medical practice.
MAIA (Medical AI Aggregator) simplifies this process by allowing users to easily upload medical images, letting the software automatically train and generate specialized analytical and predictive models. This significantly accelerates the clinical integration of AI in healthcare.
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Medical AI Aggregator
MAIA is deep learning software for medical imaging. Upload thousands to millions of images, and it automatically trains a custom AI prediction model. Using transfer learning and hyper-parameter tuning, it effortlessly builds efficient, precise AI models for medical analysis.
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SOFTWARE FEATURES
With Automatic Deep Learning (AutoDL) software, doctors can easily and quickly build customized medical imaging prediction models—no advanced AI expertise required.
Comprehensive Model Performance Evaluation
By simply uploading images, the software automatically trains the model. Performance and accuracy can then be assessed using key metrics and visualizations, including the Confusion Matrix, AUC, and ROC curve.
Multiple Imaging Models
It can perform classification prediction, regression prediction, and ranking prediction.
Automated AI Projects4
Simply upload images, and the software will automatically train and generate a customized medical imaging analysis and prediction model. Healthcare professionals can initiate and complete the automated training process with only basic AI knowledge.
Product Features
Supports Multiple Image Formats
Successful applications include X-ray, CT, MRI, SPECT, fundus photography, external imaging, and other medical imaging types.The software supports PNG, JPEG, and DICOM file formats.
Train with Minimal Data
Medical imaging data can be difficult to obtain. MAIA leverages transfer learning to train models effectively with a small dataset.
Build Explainable AI (XAI)
After evaluating test results, the software generates heat maps and allows users to export prediction results into documents and files for further use.
Meets Various Needs
MAIA Standalone Version
MAIA is compatible with Windows 10 and Linux (Ubuntu, 64-bit). It can be integrated with Muen’s latest software, QA (Query Assistant), making it the ideal solution for project planning and research paper writing.
MAIA Cloud Version
MAIA provides cloud-based AI solutions, supporting private cloud deployment and seamless integration with AWS and Azure. With competitive pricing, it simplifies AI project team building and management.
Interface Features
Assess model performance and accuracy using key metrics and visualizations, including the Confusion Matrix, AUC, and ROC curve.
Image Viewer Automated Model Training
Researchers can closely inspect images and Researchers can closely inspect images and
make adjustments to annotations as needed. make adjustments to annotations as needed.
Model Evaluation Model Testing
A well-structured and comprehensive system ensures After training is complete, the model can be tested by inputting new data.
reliable and high- quality prediction results.
Customer Success Stories
Medical Projects
Ophthalmology: Diabetic Retinopathy Detection
Orthopedics: X-ray Bone Density Detection
Thoracic: CT Lung Nodule Detection
Research Publication
Ophthalmology: Fundus Image Glaucoma Detection
Orthopedics: MRI Cruciate Ligament Tear Detection
Otolaryngology: Vocal Cord Lesion Classification Detection
Kidney: Preoperative and Intraoperative Prediction of Acute Kidney Injury in Cardiac Surgery
In Progress
Neurology: EEG-Based Epilepsy Prediction
Plastic Surgery: Facial Image Feature Length Detection
Health Management Platform for Chronic Kidney Disease Patients
Sleep Management Platform
Smart Hospital Management
Muen Awards & Achievements
Leveraging Muen’s cutting-edge AutoDL (Automated Deep Learning) technology,
our team has consistently achieved excellent results in international Kaggle competitions.
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#Dog Image Generation Competition
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#CIS Credit Default Principles