Our Services
Medical Imaging Services
- Medical imaging generates vast amounts of complex data—we help you make sense of it. Using advanced AI and deep learning techniques, we develop cutting-edge solutions for medical image analysis, segmentation, and classification.
- Our expertise spans 2D and 3D segmentation, co-registration algorithms, object detection, and volumetric rendering, enabling automated and precise insights for clinical studies, medical device companies, and research institutions. We integrate AI into existing workflows, ensuring compliance, accuracy, and scalability.
- We work with leading open-source medical AI frameworks (MONAI, OHIF, ITK, VTK, 3D Slicer) and support multiple imaging formats, including DICOM, NIFTI, OpenSlide, NRRD, and MHA. Whether you need AI-powered diagnostic tools, interactive imaging dashboards, or scalable cloud-based processing, we provide turnkey AI solutions tailored to healthcare applications
AI-driven medical imaging solutions, including segmentation, classification, object detection, and volumetric rendering, designed for accuracy, efficiency, and real-world clinical impact.
Sub-services:
- Clinical Decision Support Classification and Regression – AI models that enhance medical decision-making.
- Boosted Decision Trees – Optimized decision-tree algorithms for healthcare applications.
- Feature Engineering – Extracting meaningful insights from complex medical data.
- Data De-identification and Anonymization – Ensuring privacy compliance for sensitive patient data.
- Large Dataset Analysis – Handling and optimizing large-scale healthcare datasets.
- Healthcare Data Science – AI-driven approaches for healthcare analytics and insights.
- Data Visualization – Interactive dashboards for real-time clinical data analysis.
- Digital Signal Processing – Advanced signal analysis for ECG, EEG, and biomedical applications.
Case Studies
Real-World Impact
Explore our successful healthcare AI case studies.
Algorithm for Collaboration & Distribution
Updating disparate and unorganized AI algorithm code into cohesive and easily sharable notebooks.
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Clinical UI Design for Radiology AI
Creating intuitive software interfaces that empower doctors and accelerate AI innovation
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Developing 3D Radiology AI Solutions
Moving University Client to the Cloud with Open Source Medical AI Models
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Explore Our Work
See our 35+ Peer-Reviewed Publications & Patents.
Improved Active Shape Models for Segmentation of the Prostate on MR Imagery
Toth, R. “Improved Active Shape Models for Segmentation of the Prostate on MR Imagery,” M.S. Thesis, Rutgers University, 2010.
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., Vincent, G., Guillard, G., Birbeck, N., Zhang, J., Strand, R., Malmberg, F., Ou, Y., Davatzikos, C., Kirschner, M., Jung, F., Yuan, J., Qiu, W., Gao, Q., Edwards, P.E., Maan, B., van der Heijden, F., Ghose, S., Mitra, J., Dowling, J., Barratt, D., Huisman, H., Madabhushi, A. “Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.” Medical Image Analysis 25:18(2), Dec 2013 pp. 359-373. doi: 10.1016/j.media.2013.12.002
HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework
Toth, R.J., Shih, N., Tomaszewski, J.E., Feldman, M.D., Kutter, O., Yu, D.N., Paulus, J.C., Paladini, G., Madabhushi, A., “HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.” Journal of Pathology Informatics 5(8), Mar 2014. doi: 10.4103/2153-3539.129441
A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI
Toth, R., Traughber, B., Ellis, R., Kurhanewicz, J., Madabhushi, A., “A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.” Neurocomputing 144(20) Nov 2014. pp. 3-12 doi: 10.1016/j.neucom.2014.01.058
Professor Anant Madabhushi
Executive Director for the Emory Empathetic AI for Health Institute
Assistant Professor Andrew Janowczyk
Emory University
Mike Galvin
Co-Founder & Chairman of LivAI
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